Protein Ensembles: How Does Nature Harness Thermodynamic Fluctuations for Life? The Diverse Functional Roles of Conformational Ensembles in the Cell
Open accessAbstract
All soluble proteins populate conformational ensembles that together constitute the native state. Their fluctuations in water are intrinsic thermodynamic phenomena, and the distributions of the states on the energy landscape are determined by statistical thermodynamics; however, they are optimized to perform their biological functions. In this review we briefly describe advances in free energy landscape studies of protein conformational ensembles. Experimental (nuclear magnetic resonance, small-angle X-ray scattering, single-molecule spectroscopy, and cryo-electron microscopy) and computational (replica-exchange molecular dynamics, metadynamics, and Markov state models) approaches have made great progress in recent years. These address the challenging characterization of the highly flexible and heterogeneous protein ensembles. We focus on structural aspects of protein conformational distributions, from collective motions of single- and multi-domain proteins, intrinsically disordered proteins, to multiprotein complexes. Importantly, we highlight recent studies that illustrate functional adjustment of protein conformational ensembles in the crowded cellular environment. We center on the role of the ensemble in recognition of small- and macro-molecules (protein and RNA/DNA) and emphasize emerging concepts of protein dynamics in enzyme catalysis. Overall, protein ensembles link fundamental physicochemical principles and protein behavior and the cellular network and its regulation.
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- Findingnone given
Cys322 is located in a well-formed helix critical for catalysis.
“Cys322 is located in a well-formed helix, which is critical for catalysis.”
Quote in the paperNot a substantial claim - Findingown data
REMD-predicted and experimentally measured Cα SCSs for K18 have a Pearson correlation coefficient of 0.614.
“The REMD-predicted and experimentally measured Cα SCSs show a Pearson correlation coefficient of 0.614 (Fig. 6 C), consistent with previous NMR data.371”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [371] source
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- Findingown data
K18 monomer has both ordered and disordered nature, as revealed by representative conformations of top eight most-populated RMSD-based clusters.
“Representative conformations of the top eight most-populated RMSD-based clusters (Fig. 6 A, B) reveal the both ordered and disordered nature of the K18 monomer.”
Quote in the paperNot a substantial claim - Findingown data
In K18 monomer, cysteine-containing sequences 283DLSNVQSKCGS293 in R2 and 314DLSKVTSKCGS324 in R3 transiently sample α-helical structure.
“Our REMD-generated data of K18 monomer show that cysteine-containing sequences 283DLSNVQSKCGS293 in R2 and 314DLSKVTSKCGS324 in R3 transiently sample α-helical structure (Fig. 7 A).”
Quote in the paperSubstantial claim - Premisecitation
In solution, protein conformational fluctuations cause even stable proteins to form ensembles of highly populated substates with thermodynamic population distributions.
“Conformational fluctuations of proteins in solution,11 as revealed mostly by nuclear magnetic resonance (NMR) experiments and computations, make even stable proteins exist as conformational ensembles with highly populated substates whose populations follow thermodynamic distributions.12–16”
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- Premisecitation
IDPs are expected to have higher heat capacity than well-defined proteins, potentially 2-4 times that of globular proteins of equal mass.
“Proteins with very flexible conformations, such as intrinsically disordered proteins (IDP), are expected to have larger heat capacity than well-defined proteins.96–98”
- Also stated in: § Intrinsic thermodynamic fluctuation of protein and water · hedged
“The heat capacity of IDP could be 2 to 4 times larger than globular proteins with the same molecular mass.”
Quote in the paperNot a substantial claim0 of 3 sources checked - Also stated in: § Intrinsic thermodynamic fluctuation of protein and water · hedged
- Interpretationcitation
Population shifts within dynamic distributions provide the link to function and life.
“It is the dynamic change in the distributions – via population shifts – that portrays and captures the linkage to function and life.89”
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- Interpretationcitation
Energy fluctuations within a protein, together with water energy fluctuations of 10-20 kcal/mol, can drive a well-folded protein into many states.
“However, the intrinsic protein energy fluctuation coupled with the local energy fluctuations in water with a range of 10 to 20 kcal/mol,93–94 is enough to perturb a well folded protein to a vast number of states.”
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Protein structural fluctuations at equilibrium arise from both internal molecular interactions and energy fluctuations in the surrounding water.
“At thermodynamic equilibrium, structural fluctuations of proteins are not only induced by the fluctuations of intra-molecular interactions of proteins, but also by the fluctuations of the energy of the surrounding water molecules.”
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- Premisenone given
In solution, a protein is a dynamic equilibrium mixture of conformer sub-ensembles with different partial molar volumes.
“A protein molecule in solution exists in a dynamic equilibrium mixture of sub-ensembles of conformers differing in partial molar volumes.”
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Protein volume and solvent accessible surface area change together in a positive correlation.
“Changes in volume and SAS (solvent accessible surface area) are positively correlated.”
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Lower-volume conformations have their cavities occupied by solvent.
“In conformations with lower volume the cavities are filled with solvent.120–121”
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All soluble proteins exist as conformational ensembles in equilibrium around their native states.
“In the cell, the conformational ensembles of all soluble proteins are in equilibrium around their native states.1”
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- Premisecitation
Folding in small proteins, domains, and disordered states frequently follows a two-state mechanism with an energy barrier.
“In small proteins, domains, and disordered states, protein folding is often a two-state process132 separated by an energy barrier.”
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- Premisecitation
The breadth of conformational distributions varies among proteins, with some showing lower and some higher structural variability as measured by RMSD and other parameters.
“The breath of the distributions of the ensembles varies across proteins; some with lower and some with higher structural variability as measured by root-mean-square deviation (RMSD) and other parameters2.”
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- Premisenone given
Conformational fluctuations are directly linked to a protein's compressibility and heat capacity.
“The protein compressibility βT and heat capacity Cv or Cp are directly related to the conformational fluctuations of proteins.”
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A protein's biological function requires a conformational ensemble that is dictated by the energy landscape.
“more and more evidence indicates that the energy landscape dictates the conformational ensemble needed for the protein’s biological function.3”
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- Premisenone given
Natural proteins have smoother energy landscapes than random amino-acid sequences.
“Compared to random amino-acid sequences, the energy landscapes of natural proteins are smoother, in line with the funnel description.”
Quote in the paperNot a substantial claim - Interpretationnone given
A conformation with smaller volume tends to be more rigid.
“The lower the volume, the more rigid the conformation would be.”
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The calculated SAXS profile for the p53 tetramer agrees well with experiment.
“The calculated SAXS profile agrees well with the experiment.”
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- Interpretationnone given
Protein fluctuations tend to be larger when the global energy minimum is shallower.
“The shallower the global energy minimum, the larger the protein fluctuation is likely to be.”
Quote in the paperSubstantial claim - Premisecitation
Free K63-linked diubiquitin exists as a dynamic ensemble of multiple closed and open quaternary states, as shown by inter-subunit paramagnetic NMR.
“Analysis of inter-subunit paramagnetic NMR data showed that free K63-Ub2 exists as a dynamic ensemble comprising multiple closed and open quaternary states.”
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- Premisecitation
Multi-scale ensemble modeling of p53 with intrinsically disordered linkers illustrates how linkers encode states.
“This mechanism can be also illustrated by multi-scale ensemble modeling of p53 proteins with intrinsically disordered linker regions.227”
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- Premisecitation
In solvent, protein energy landscapes resemble those of glass and supercooled liquids.
“As compared to crystal, the energy landscapes of proteins in solvent are similar to those of glass and supercooled liquid.163”
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- Interpretationcitation
Recognition mechanisms are governed by the shape of the intrinsic energy landscape.
“The recognition mechanism depends on the topography of the intrinsic energy landscape.”
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- Premisecitation
Ligand binding sites close to catalytic sites may have moderate flexibility that accommodates ligand binding.
“Ligand binding sites which closely neighboring catalytic sites may enjoy moderate flexibility which accommodates ligand binding.221”
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Quaternary dynamics allows K63-Ub2 to be specifically recognized in various signaling pathways.
“Quaternary dynamics enables K63-Ub2 to be specifically recognized in a variety of signaling pathways.226”
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- Premisenone given
IDPs typically exhibit lower energy barriers.
“As indicated in Fig. 2, intrinsically disordered proteins generally have lower energy barriers.”
Quote in the paperNot a substantial claim - Interpretationcitation
Rather than one structure, the native state comprises many conformations that fluctuate at the funnel bottom with similar energies and low barriers.
“Therefore, on the energy landscape, the protein native state is not a single structure but a collection of conformations fluctuating at the bottom of the funnel with comparable energy and small energy barriers.160–161”
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Conformational entropy of the native state is set by the width and ruggedness of the global energy minimum.
“The width and ruggedness of the unique global energy minimum determine the conformational entropy of the native state.133”
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- Interpretationcitation
The distributions and variability of conformers provide a gradient of binding-site shapes and volumes.
“Depending on the distributions of the conformers and their conformational variability, they provide a gradient of binding site conformations of different shapes and volumes.”
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Hinge regions that adopt multiple conformations often act as binding sites for several ligands.
“Hinge sites with multiple conformations are often the binding sites for multiple-ligands,219”
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- Interpretationreasoning
A vast number of conformational states and thermodynamic fluctuations around the native state make the folding and interaction landscape necessarily rugged.
“Even with a funnel shape, the protein folding and interaction energy landscape is necessarily rugged since a vast number of conformational states and substates exist along the folding/binding pathway as well as thermodynamic fluctuations around native state.”
Quote in the paperSubstantial claim - Interpretationcitation
Multiple minima, connected by complex transition states, characterize the functional energy landscape.
“Consequently, the functional energy landscape has multiple minima, bridged by complex transition states.133”
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- Premisecitation
A target protein can select and stabilize one of the preexisting quaternary states of K63-Ub2.
“One of the preexisting quaternary states can be selected and stabilized by a target protein.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [226] source
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- Interpretationreasoning
Such binding-site conformational gradients can favorably interact with ensembles of ligands of different sizes.
“These can potentially favorably interact with ensembles of ligands of variable sizes.219,225”
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Fluorescence correlation analysis indicates that T4 lysozyme populates multiple intermediate states.
“Correlation analysis of fluorescence indicates that T4L populates multiple intermediate states.222”
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- Premisecitation
In allosteric proteins, hinges sit near high-frustration regions, allowing rare large-amplitude fluctuations that approach the opposite state basin.
“Their work confirmed that hinge regions are located near regions of high frustration, which enables allosteric proteins to exhibit rare and large-amplitude fluctuations nearly up to the opposite state basin.143”
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- Premisecitation
Simulations combined with experiments revealed details of the conformational ensemble of T4 lysozyme.
“A combination of simulations and experiments revealed details of the conformational ensemble of the T4L.223–224”
Quote in the paperNot a substantial claim0 of 2 sources checked - Interpretationreasoning
Evolution has exploited landscape ruggedness to tune proteins for their functions.
“Nature has taken advantage of the ruggedness of the energy landscape to optimize proteins for their functions.”
Quote in the paperSubstantial claim - Premisecitation
Signal integration through inter-domain linkers often shows synergistic rather than simple additive responses to activating inputs.
“Biological signal integration through the inter-domain linkage often does not display simple additive responses to activating inputs; instead, the linker provides synergistic activation effects.217”
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- Premisecitation
Propagation of conformational change at certain locations can cause large-amplitude fluctuations of linked domains.
“The propagation of conformational change at certain locations228–230 can lead to large amplitude fluctuations of the linked domains.231”
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Amyloid aggregation is characterized by conformational transitions from intrinsic disorder in soluble monomeric/oligomeric forms to ordered self-assembled amyloid fibrils of the same proteins.
“Therefore, IDPs have also become the focus of studies of molecular mechanisms of amyloid aggregation, characterized by conformational transitions from intrinsic disorder in the soluble monomeric/oligomeric form to ordered self-assembled amyloid fibrils of the same proteins.262–263”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
The native conformational ensemble of inactive procaspase 3 is constrained by its intersubunit linker.
“The native conformational ensemble of inactive procaspase 3 is constrained by its intersubunit linker (IL).”
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- Interpretationcitation
In p53 and many other cases, the effect is direct recognition rather than an allosteric PTM acting through a population shift.
“Here, however, as in many other cases it is a direct recognition rather than an allosteric PTM functioning through a population shift.”
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- Premisecitation
The conformational ensemble of n16N, an intrinsically disordered peptide, has dominant structures that place key residues in locations thought critical for selective binding to β-chitin surfaces, as shown by REMD combined with NMR.
“However, a combination of replica exchange molecular dynamics simulations with NMR experiments showed that in the equilibrium conformational ensemble of the intrinsically disordered peptide the dominant structures present the key residues in locations thought to be critical for selective binding to β-chitin surfaces.258”
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- Premisecitation
Combinations of post-translational modifications can constitute an allosteric code.
“Combinations of PTMs can constitute an allosteric code.77”
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- Premisecitation
Cleavage of the intersubunit linker activates procaspase 3.
“Cleavage of the linker activates procaspase 3.”
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- Interpretationnone given
Disordered proteins provide evidence that protein function and properties are determined not only by static folded 3D structure but by the distribution and redistribution of the conformational ensemble.
“Disordered proteins provide evidence that the function of a protein and its properties are not only decided by its static folded three-dimensional structure; but by the distribution and redistribution of the conformational ensemble.”
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MD results reveal similar conformational ensembles for native and non-native ubiquitin dimers.
“The MD results also reveal similar conformational ensembles for the native and non-native ubiquitin dimers.”
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Disordered proteins account for a large fraction of all cellular proteins.
“Disordered proteins account for a large fraction of all cellular proteins.248”
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- Study design and conductcitation
Because SAXS data are low resolution and cannot precisely determine relative monomer orientation, MD-generated conformations differ somewhat from those fitted with the experimental structural library.
“It is noted that due to the low resolution nature of SAXS data which prevents a precise determination of relative orientation of the two monomers, the MD generated conformations differ somewhat from those fitted with the experimental structural library.232”
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- Premisecitation
SAXS profiles for ubiquitin dimers connected by native and non-native linkages are similar.
“They found that SAXS profiles for the two types of dimers are similar.”
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- Premisecitation
Increasing the intersubunit linker length by introducing 3-5 alanines can produce constitutively active procaspases.
“Interestingly, increasing the IL length by introducing 3–5 alanines can lead to constitutively active procaspases.236”
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- Premisecitation
A post-translational modification can bias the conformational distribution, increasing the population time of a cluster favored for binding a specific partner.
“A post-translational modification (PTM) can bias the conformational distribution, increasing the population time of a cluster favored for binding a specific partner77.”
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- Premisecitation
The L12 conformational ensemble shows that its two C-terminal domains sample a large volume and extend farther from the ribosomal anchor than expected for a random-chain linker, indicating residual order in the flexible linker.
“The ensemble of L12 conformations reveals that the two C-terminal domains sample a large volume and extend further away from the ribosomal anchor than expected for a random-chain linker, indicating that the flexible linker has residual order.”
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- Premisecitation
Intrinsically disordered proteins are on average twice as likely to be kinase substrates.
“Intrinsically disordered proteins are on average twice more likely to be substrates of kinases, highlighting the importance of post-translational modifications in fine-tuning function.254”
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- Premisecitation
The sequence of linkers and of residues contacting adjoining domains may encode successive or parallel states through which signals travel.
“The sequence of the linkers and of residues in contact between linkers and adjoining domains may encode successive or parallel states through which signals travel.29”
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- Interpretationreasoning
Stabilizing linkers may abolish function.
“Stabilizing such linkers may abolish function.”
Quote in the paperNot a substantial claim - Premisecitation
Releasing strain of the short intersubunit linker alone is insufficient to sufficiently increase the population of the active procaspase 3 conformer in the native ensemble.
“However, releasing the strain of the short IL is not enough to sufficiently increase the population of the active conformer in the native ensemble.”
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- Interpretationcitation
Analysis of tau protein conformational ensembles supports structured disorder and conformational selection as functional mechanism for IDPs.
“The results of the analysis of the conformational ensembles of the tau proteins support the view of structured disorder and conformational selection as functional mechanism for IDPs.377”
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- Interpretationown data
The REMD-generated conformational ensemble of K18 monomer is consistent with previous NMR data.
“These good correlations between the REMD- and NMR-derived Cα chemical shifts indicate that the REMD-generated conformational ensemble of K18 monomer is consistent with previous NMR data.371”
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- Premisecitation
The conformational selection and population shift model provides a more realistic description of molecular mechanism considering ensemble nature.
“The ‘conformational selection and population shift’ model87–89,134 provides a more realistic description of the molecular mechanism considering the ensemble nature of protein molecules.”
Quote in the paperSubstantial claim0 of 4 sources checked - Interpretationcitation
Close lysine-cysteine contacts in K18 may facilitate tau's self-acetylation activity mediated by cysteine residues.
“The close lysine-cysteine contacts in K18 may facilitate tau’s self-acetylation activity mediated by cysteine residues as reported recently.379”
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- Premisecitation
Tau proteins have intrinsic enzymatic activity that catalyzes self-acetylation, mediated by a pair of catalytic cysteine residues in the MT-binding domain.
“Tau proteins possess intrinsic enzymatic activity capable of catalyzing self-acetylation mediated by a pair of catalytic cysteine residues residing within the microtubulin (MT)-binding domain.373”
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- Premisecitation
MSMs can predict kinetic quantities on long timescales (e.g., milliseconds) using shorter MD simulations.
“MSMs can predict kinetic quantities on long timescales (e.g. milliseconds) using a set of much shorter MD simulations.395–396”
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Symmetrical oligomeric complexes are evolutionarily selected by functional, genetic, and physicochemical needs.
“Symmetrical oligomeric complexes are evolutionarily selected by functional, genetic, and physicochemical needs.”
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- Premisereasoning
MSMs can identify kinetically relevant states and rates of interconversion between them.
“A Markov state model (MSM), known as a stochastic model, provides an approach which can be used to identify the kinetically relevant states and the rates of interconversion between these states.”
Quote in the paperNot a substantial claim - Premisecitation
Metadynamics methods have been successfully applied to study free energy landscapes of flexible proteins, protein oligomers, peptide folding, ligand and selective ion permeation through membrane channels.
“These methods alone, or in combination with high-resolution experimental techniques such as x-ray crystallography and NMR, have been successfully applied to the study of the free energy landscape of flexible proteins and protein oligomers,36,388–389 peptide folding,390–392 ligand and selective ion permeation through cell membrane protein channels.393”
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The two cysteine-containing regions of K18 are highly similar to catalytic regions in MYST-family acetyltransferases Esa1 and Tip60.
“These two regions are highly similar to the catalytic regions in MYST-family acetyltransferase Esa1 and Tip60.379”
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- Premisecitation
Protein-protein interfaces are characterized by hot spots or hot regions rather than even contribution across all contact areas.
“Protein-protein interfaces are characterized by the existence of hot spots or ‘hot regions’ in interacting regions instead of an even contribution across all contact areas.371,476,487,492–495”
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- Interpretationcitation
The structural ensemble in DHFR is exquisitely optimized for every intermediate in the catalytic cycle.
“The structural ensemble in DHFR is exquisitely optimized for every intermediate in the catalytic cycle.461”
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- Interpretationnone given
Conformational ensemble heterogeneity promotes enzyme promiscuity.
“It is easy to understand that conformational ensemble heterogeneity promotes enzyme promiscuity.”
Quote in the paperSubstantial claim - Interpretationreasoning
Conformational ensembles enable enzymes to function through multiple steps.
“Conformational ensembles enable enzymes to function through multiple steps.”
Quote in the paperSubstantial claim - Premisecitation
Using experimentally known protein conformational ensembles in proteome-scale modeling of protein-protein interactions boosts successful prediction from ~26% to 66%.
“Using experimentally known protein conformational ensembles in modeling protein-protein interactions on the proteome scale can boost the percentage of successfully predicted interactions from ~26 to 66%.478”
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- Premisecitation
In >70% of 98 examined enzymes, GNM-predicted global hinge centers colocalize with experimentally identified catalytic sites.
“They found that in more than 70% of the examined enzymes, the global hinge centers predicted by the GNM are colocalized with the experimentally identified catalytic sites.”
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- Premisecitation
The rate of enzyme conversion of substrates to products is not the speed of the chemical step.
“The rate by which the enzyme converts substrates into products is not the speed of the chemical step.448”
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- Premisenone given
Protein-protein interactions and other cellular networks can adjust internal states to incoming stimuli.
“Protein-protein interactions and other cellular networks have the ability to adjust their internal states to incoming stimuli.”
Quote in the paperSubstantial claim - Premisecitation
MD simulations and free energy calculations revealed a crucial role of protein flexibility in forming a stable reaction transition state in α-amylase catalysis.
“MD simulations and free energy calculations revealed the crucial role of protein flexibility in formation of a stable reaction transition state in α-amylase catalysis.451”
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- Premisecitation
Enzymes are optimized by evolution to exploit conformational ensembles to recognize substrates and stabilize transition states.
“Enzymes are optimized by evolution to exploit conformational ensembles to recognize their substrates and stabilize the transition states,70,209 and both experimental and theoretical evidence indicates that enzyme conformational transitions are highly organized which increases enzyme specificity and efficiency.133,399,433–435”
Quote in the paperSubstantial claim0 of 2 sources checked - Interpretationcitation
Ensemble receptor-based protocols have stronger discriminating power between active and inactive molecules than standard single rigid receptor protocols.
“Overall, ensemble receptor-based protocols display a stronger discriminating power between active and inactive molecules as compared to its standard single rigid receptor counterpart.426”
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- Premisecitation
SOS functional output may be determined by the dynamical spectrum of rates sampled by a small number of enzymes rather than the ensemble average.
“It has been shown that SOS functional output may be determined by the dynamical spectrum of rates sampled by a small number of enzymes, rather than the ensemble average.472”
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- Premisecitation
During binding, higher energy (lower population) conformers most complementary to pre-existing ligand conformations can be selected, shifting equilibrium toward them.
“During binding, higher energy (lower population) conformers which are most complementary to some pre-existing ligand conformations can be selected and the equilibrium shifts toward these conformers.87–89,134”
Quote in the paperSubstantial claim0 of 4 sources checked - Interpretationcitation
MUP-I's ability to bind different lipophilic ligands derives from limited conformational flexibility and unoccupied space in the hydrophobic β-barrel interior.
“In this case, the ability of MUP-I to bind different lipophilic ligands derives from a limited extent of conformational flexibility and unoccupied space within the hydrophobic interior of the β-barrel.413”
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- Premisenone given
Interactions of IDPs with small molecules are harder to track experimentally or computationally than globular proteins with flexible binding sites.
“As compared to globular proteins with flexible binding sites, the interactions of intrinsically disordered proteins with small molecules are much harder to track either experimentally or computationally.”
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Targeting α-synuclein's disordered structural ensemble by small molecules is promising as a therapeutic strategy for Parkinson's disease.
“Targeting the intrinsically disordered structural ensemble of α-synuclein by small molecules as a potential therapeutic strategy for Parkinson’s disease has been shown to be promising.429”
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Protein dynamics are universally important for protein-ligand interaction.
“Protein dynamics have been shown to be universally important for protein-ligand interaction.219”
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- Premisecitation
For bacterial phosphotriesterase, maltose binding protein, choline oxidase, cytochrome bc1 complex, and many lid-gated enzymes, closed and open conformations are in equilibrium prior to ligand binding, permitting conformational selection at different catalytic steps.
“Conformational sampling for bacterial phosphotriesterase,443 maltose binding protein,444 and choline oxidase,445 cytochrome bc1 complex,446 and many other lid-gated enzymes indicated that the closed and open conformations are in equilibrium prior to ligand binding, permitting a conformational selection pathway at different catalytic steps.447”
Quote in the paperSubstantial claim0 of 5 sources checked - Interpretationcitation
Enzyme specificity can be controlled through multiple conformational selection steps.
“Enzyme specificity can be controlled through multiple conformational selection steps.”
Quote in the paperSubstantial claim - Interpretationcitation
Ensemble-averaged states are sometimes not applicable to enzymes with distinct functional states.
“Ensemble-averaged states sometime are not applicable to enzymes with distinct functional states.”
Quote in the paperSubstantial claim - Premisenone given
Different protein conformations often correspond to different biological functions.
“Different protein conformations often correspond to different biological functions.”
Quote in the paperSubstantial claim - Premisenone given
Catalytic power of enzymes largely derives from stabilizing transition states, lowering the barrier.
“The catalytic power of enzymes largely derives from their ability to stabilize transition states, lowering the barrier that reactants have to pass to reach productive states.”
Quote in the paperNot a substantial claim - Premisecitation
ATP turnover by individual myosin molecules uses two conformers of the active site: one allowing complete ATPase cycle, one dissociating ATP uncleaved.
“Recently, it has been found that ATP turnover by individual myosin molecules uses two conformers of the myosin active site, one that allows the complete ATPase cycle and one that dissociates ATP uncleaved.467”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [467] source
Not checked in the free run.
- Premisecitation
Serine protease, conventionally regarded as rigid lock-and-key, shows nanosecond timescale binding loop movement that selects an inhibitor conformation.
“Serine protease is conventionally regarded as fitting the rigid lock-and-key model. However, nanosecond timescale binding loop movement was observed to select an inhibitor conformation.465”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [465] source
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- Premisecitation
Residues surrounding conserved residues can form a flexible cushion.
“whereas the residues surrounding the conserved residues may form a flexible cushion.496”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [496] source
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- Premisecitation
Antibody evolution may constrain conformational heterogeneity by tailoring protein dynamics.
“Antibody evolution may constrain conformational heterogeneity by tailoring protein dynamics.519”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [519] source
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- Interpretationreasoning
Combining rigid hot spot regions with flexible protein regions can efficiently tune the energy of protein-protein interactions.
“Coupling of rigid hot spot and flexible protein regions can be an efficient way to adjust protein-protein interaction energy.”
Quote in the paperSubstantial claim - Premisecitation
Mutations in antifluorescein antibody 4-4-20 localized its combining site from a heterogeneous ensemble to a single conformation by cooperative long-range rigidification.
“Controlled evolution of the antifluorescein antibody 4–4-20 localized the Ab-combining site from a heterogeneous ensemble of conformations to a single conformation by introducing mutations that act cooperatively and over significant distances to rigidify the protein.519”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [519] source
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- Premisecitation
Point mutations in the ubiquitin core change binding specificity allosterically by shifting the ground-state ensemble between open and closed substates that have similar populations in the wild-type protein.
“Antibody evolution and conformational changes are similar to point mutations within the ubiquitin core, which changes the binding specificity allosterically by shifting the conformational equilibrium of the ground-state ensemble between open and closed substates that have similar populations in the wild-type protein.521”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [521] source
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- Premisecitation
Correlated flexibility may increase during antibody complex formation.
“It was also found that correlated flexibility may increase during antibody complex formation.520”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [520] source
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- Premisecitation
Eph-ephrin specificity is controlled not only at the final protein-protein interface but also by dynamic intermediate stages along the recognition pathway.
“The results indicated that the specificity is not only controlled by the final stage of the interaction across the protein-protein interface, but also contributed by dynamic intermediate stages along the pathway from the separated Eph and ephrin to the Eph-ephrin complex.514”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [514] source
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- Premisecitation
Two scFv mutants with similar thermodynamic stability show local and long-range changes in backbone flexibility.
“In comparing two scFv mutants with similar thermodynamic stability, local and long-ranged changes in backbone flexibility are observed.520”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [520] source
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- Interpretationcitation
Antibody-antigen interactions optimize the coupling of rigid and flexible binding sites for specific antigen binding.
“Antibody-antigen interactions optimize the coupling of rigid and flexible protein binding sites for specific antigen binding.”
Quote in the paperNot a substantial claim- Rests on an assumption: Antibody variable regions must be flexible to recognize highly diversified targets.
- Premisecitation
SAXS analysis of identical variable regions from IgG1, IgG2, and IgG4 reveals distinct subclass-specific conformational preferences.
“The ensembles were optimized through shape clustering, revealing distinct subclass-specific conformational preferences.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [517] source
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- Premisecitation
This flexibility mechanism appears additional to other hub-protein mechanisms such as covalent linkage to interaction domains and alternative splicing.
“This mechanism appears to be in addition to other mechanisms adopted by hub proteins, such as covalent linkage to protein interaction domains, alternative splicing variants, etc.524”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [524] source
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- Interpretationreasoning
In multiple-partner binding or altered homo-multimeric organization, different binding modes use distinct conformers from the ensemble, explaining promiscuous binding.
“In cases of multiple-partner binding, or in altered homo-multimeric organization, the different binding modes are accomplished through distinct conformers from the ensemble, explaining the so-called ‘promiscuous’ binding.”
Quote in the paperSubstantial claim - Premisecitation
Human centrosomal proteins are significantly biased toward being unstructured and having coiled-coil regions compared with generic human proteins.
“Bioinformatics analysis indicated that human centrosomal proteins have a significant bias to be both unstructured and with coiled-coil regions with respect to generic human proteins.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [526] source
Not checked in the free run.
- Premisecitation
Differences in the linker region correlate with the solution structure of intact antibodies.
“The specific differences in the linker region correlate with the solution structure of intact antibodies.517”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [517] source
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- Premisecitation
Conformational dynamics and the distribution of the conformational ensemble are important in Eph-ephrin recognition.
“Conformational dynamics and the distribution of the conformational ensemble are important in Eph-Ephrin recognition.9,475,513–516”
Quote in the paperSubstantial claim0 of 6 sources checked - Premisereasoning
Protein-protein interactions can span a broad range of binding energies.
“Depending on the function of the complex, protein-protein interactions may have a broad range of binding energies.”
Quote in the paperNot a substantial claim - Interpretationcitation
A wide conformational ensemble enables hub proteins to bind many partners with different binding modes.
“The wide distribution of the conformational ensemble of flexible protein enables hub proteins to bind a large number of partners with different binding modes.”
Quote in the paperSubstantial claim - Premisecitation
Several hot spots in the Eph binding pocket are important for binding several peptides.
“Several hot spots in the Eph binding pocket were identified as important for the binding of several peptides.475”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [475] source
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- Premisecitation
Evidence of conformational selection driving formation of ligand binding sites in protein-protein interfaces was shown in a study using NMR ensembles of ligand-free protein conformations.
“Evidence of conformational selection driving the formation of ligand binding sites in protein-protein interfaces has been shown in one study which focused on ensembles of ligand-free protein conformations obtained by NMR.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [502] source
Not checked in the free run.
- Interpretationreasoning
A large interface area does not necessarily imply high binding affinity.
“but the large interfaces area does not necessarily equate to high affinities.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Changes and optimization of the conformational ensemble also allow allosteric antibody interaction.
“The change and optimization of the conformational ensemble also allow allosteric antibody interaction.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Highly fluctuating conformations of intrinsically disordered proteins provide functional advantages in protein-protein interactions.
“Highly fluctuating conformations of intrinsically disordered proteins offer functional advantages in protein-protein interactions.”
Quote in the paperSubstantial claim- Rests on an assumption: Natively disordered proteins can form ordered complexes upon binding their partner.
- Interpretationcitation
Eph-ephrin recognition illustrates how rigid and flexible binding sites can adjust promiscuous and specific protein-protein interactions.
“Eph-Ephrin recognition is a good example for the coupling of rigid and flexible protein binding sites to adjust ‘promiscuous’ and specific protein-protein interactions.”
Quote in the paperNot a substantial claim - Premisecitation
Hot spot residues at binding interfaces are rigid, which reduces the entropic cost of binding.
“Hot spot residues at binding interfaces confer rigidity to minimize the entropic cost of binding”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [496] source
Not checked in the free run.
- Interpretationreasoning
Nature used conformational selection to fit specific targets.
“Clearly, nature utilized conformational selection to fit specific targets.”
Quote in the paperSubstantial claim - Premisecitation
An ensemble model of yeast pheromone signaling generated reliable responses matching experimental observations.
“They found that the ensemble model generated reliable responses that match experimental observations.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [535] source
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- Premisecitation
KIX is an allosteric domain that can bind two other proteins cooperatively.
“KIX is an allosteric domain able to bind two other proteins cooperatively.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [530] source
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- Premisecitation
Different partners binding at the second site can modulate pKID-KIX interaction conformations and affinity, regulating the transactivation complex.
“Different partners binding at the second site can modulate the conformations and thus the affinity of pKID-KIX interaction, regulating the transactivation complex.530”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [530] source
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- Premisecitation
In muscle contraction, release of chemical energy is often accompanied by thermal fluctuation, which can transform muscular force via cyclical myosin-actin interactions.
“In the classic example of muscle contraction as biomolecular machines, the release of chemical energy is often accompanied by thermal fluctuation, which can transform muscular force generated in response to external stimuli through cyclical interactions between myosin and actin.539”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [539] source
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- Premisecitation
Gene regulation complexity requires a combination of high- and low-affinity DNA binding.
“The complexity of gene regulation requires a combination of high and low affinity DNA binding.543”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [543] source
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- Premisecitation
Ensembles can signal effectively at the cellular systems level through a multiple-conformations combinatorial scheme representing weak linkage.
“The results illustrated on the cellular systems level that ensembles are able to signal effectively through a multiple-conformations combinatorial scheme that represents a form of weak linkage.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [535] source
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- Premisecitation
A hierarchical assembly model for scaffold-based signaling machines could not replicate experimental observations.
“In contrast, the model that employs hierarchical assembly pathways to produce scaffold-based signaling machines could not replicate experimental observations.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [535] source
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- Premisecitation
RNA and DNA exist as conformational ensembles in freely diffusing states, crystals, nucleosomes, ribosomes, and spliceosomes.
“RNA and DNA also exist as conformational ensembles, no matter whether in freely diffusing state,540 in crystal,541 or in large nucleosomes,542 ribosomes, or spliceosomes.”
Quote in the paperNot a substantial claim0 of 3 sources checked - Interpretationreasoning
Ensembles conceptualize parallel signaling pathways whose abundance reflects cofactor and second messenger concentrations and cell states, including post-translational modifications.
“Ensembles conceptualize parallel signaling pathways whose abundance reflect concentrations of cofactors and second messengers and cell states, including interplay with post-translational”
Quote in the paperSubstantial claim - Interpretationnone given
Conformational ensembles are essential for molecular machine tasks requiring high specificity.
“Conformational ensembles are essential for molecular machine tasks requiring high specificity.”
Quote in the paperSubstantial claim - Interpretationcitation
A conventional mechanical description of protein complexes requiring well-defined quaternary structures is misleading because signaling and regulatory complexes are highly dynamic ensembles.
“Since signaling and other regulatory complexes typically consist of highly dynamic molecular ensembles a ‘conventional’ mechanical description of protein complexes that requires well-defined quaternary structures is misleading.534–535”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Enzymes and molecular motors can be described thermodynamically by ensembles of discrete states.
“Thermodynamically, both enzymes and molecular motors can be described by ensembles of a discrete set of states.532–533”
Quote in the paperSubstantial claim0 of 2 sources checked
- May combine two claims. 61
- Classified as probably not a substantial claim. 8
May combine two claims.
FindingreasoningA volume change of −20 to −100 mL/mol translates to a free energy change of −0.5 to −2 kcal/mol per kbar, enough to alter which conformational state dominates at high pressure.
“In a typical case, the partial molar volume change is about −20 to −100 mL/mol, which means the free energy change is on the order of −0.5 to −2 kcal/mol per 1 kbar which may be sufficient to shift state B as the dominant species under elevated pressure in place of state A.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningFor a typical 25 kDa protein, the root mean square fluctuations of energy and volume are approximately 38 kcal/mol and 80 Å3, respectively.
“One could estimate that the root mean square fluctuations of E and V are respectively:16 〈ΔE2〉≈38kcalmol−1, 〈ΔV2〉≈80Å3.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] source
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Findingown dataThe lysine-cysteine distance distribution in K18 shows peaks between 5 and 10 Å, indicating the two residues are close enough as in acetyltransferase (Cα−Cα distance 8.4 Å between Lys262 and Cys304).
“The lysine−cysteine distance distribution curve in Fig. 7 (B) displays peaks between 5 and 10 Å, indicating that the two residues are close enough as in acetyltransferase with a Cα−Cα distance of 8.4 Å between Lys262 and Cys304.380”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [380] source
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PremisecitationWhen projected onto a coordinate like the fraction of native contacts, the folding landscape appears as a funnel, which resolves Levinthal's paradox.
“Mapping the folding landscape to a single coordinate, such as the fraction of native contacts, the energy landscape can be visualized as a funnel,132 elegantly resolving Levinthal’s paradox.11”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationGreater protein flexibility correlates with more populated states, and disordered states lie at the extreme of this range.
“The more flexible are the proteins the larger the number of their populated states, with the disordered state being at the end of this spectrum.17”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] source
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PremisecitationStatistical energy landscape theory originated as a framework for studying protein folding.
“The statistical energy landscape theory was developed to study protein folding.1,128–131”
Quote in the paperNot a substantial claim0 of 5 sources checkedMay combine two claims.
PremisecitationWithin one unit cell, crystal proteins may adopt different conformations, and the crystal state does not capture multiple populated substates.
“It is now generally accepted that crystal proteins may still have different conformations in a single unit cell,9 and there are multiple, populated substates that are not captured in the crystal state.10”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
PremisereasoningUnder pressure, a protein can reduce its volume either by elastic compression within a sub-ensemble or by shifting its conformational equilibrium toward low-volume conformers.
“There are two mechanisms for a protein in solution to attain a lower volume in response to pressure: ‘elastic response’ by general compression within the sub-ensemble of the conformers and a shift of the conformational equilibrium from a high-volume to a low-volume ensemble.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationProtein structures have intrinsic thermodynamic fluctuations, as do water molecules.
“Protein structures must be considered as dynamic objects at the molecular level due to their intrinsic thermodynamic fluctuations16,92 as well as those of water.93–94”
Quote in the paperSubstantial claim0 of 4 sources checkedMay combine two claims.
Interpretationnone givenStatistical thermodynamics determines the distribution of states on the energy landscape, but function, optimized by evolution, also modulates these distributions.
“Here our thesis is that the distributions of the states on the energy landscape are determined by statistical thermodynamics; however, they are also modulated by function which is optimized by evolution.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Protein function has been optimized by evolution.
May combine two claims.
PremisecitationThermodynamic fluctuations sample pre-existing conformations; function arises from changing their relative populations, not from creating new conformations.
“The pivotal concept that all conformations pre-exist and are sampled by thermodynamic fluctuations – with function involving not new conformations but a shift in their relative concentration – underlies current approaches and interpretations.”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
InterpretationcitationAccording to the minimum frustration principle, evolution has optimized folding, and mutations perturb the landscape much like temperature changes.
“The minimum frustration principle implies that nature has optimized protein folding,129,174 thus the effect of point mutations on the energy landscape is analogous to thermal perturbations.175”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationRough energy landscapes slow dissociation and may strengthen the dynamic interaction between streptavidin and biotin.
“For example, the energy landscape roughness slows down dissociation kinetics and can contribute to streptavidin-biotin interaction dynamic strength.176”
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PremisecitationThe energy landscape framework now covers protein-ligand binding and function, with statistical methods modeling the binding landscape.
“The energy landscape concept was extended to protein-ligand binding and function87–89,134–141 and statistical approaches were developed to describe the protein binding energy landscape.142–158”
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- cites [134] source
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PremisecitationProtein motions fall into slower α and faster βh fluctuations; solvent viscosity governs α motions, while the hydration shell largely drives βh fluctuations.
“Exploiting the concept of glasses and supercooled liquids,166 protein motions could be classified by the α fluctuation (primary) and βh fluctuation (secondary).167–168 The slower α relaxation motions are inversely controlled by the solvent viscosity169–170 and the faster βh fluctuations are largely due to the hydration shell of the proteins.171”
Quote in the paperNot a substantial claim0 of 5 sources checkedMay combine two claims.
PremisecitationLong-range contacts in the p53 linker region were required to reproduce the experimental SAXS profile, indicating allosteric communication.
“However, long-range contacts in the p53 linker region were required to reproduce the experimental SAXS profile, indicating allosteric communication.227”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [227] source
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PremisecitationMutations at hinge regions can allosterically change binding-site dynamics or create alternative binding modes by altering the set of accessible conformations.
“mutations at the hinge regions could allosterically affect the binding-site dynamics or induce alternative binding modes by modifying the ensemble of accessible conformations220.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [220] source
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PremisereasoningFluctuation energy scales with the local glass transition temperature, while the folding frustration ratio TF/TG scales inversely with it.
“The local glass transition temperature TG is proportional to the fluctuation energy, and therefore the protein folding frustration TF/TG is inversely proportional to the fluctuation energy.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe linker sequence is not randomly distributed, and the resulting calmodulin linker conformational ensemble must be optimized for calmodulin binding.
“The results indicated that the linker sequence is not randomly distributed; the resulting conformational ensemble of the linker must be optimized for calmodulin binding.234”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [234] source
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PremisecitationIn p53, phosphorylation at Ser20 turns off p53-MDM2 binding and increases p53 concentration, while phosphorylation at Thr155 targets p53 for ubiquitin-mediated degradation.
“In the case of p53, phosphorylation at Ser20 turns off p53-MDM2 binding, with a consequent increase in p53 concentration; while phosphorylation at Thr155 targets p53 to degradation by the ubiquitin system (reviewed in256).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [256] source
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PremisecitationDisordered proteins lack a stable, well-defined structure under physiological conditions and exist in a continuum from less to more structured states.
“‘Disordered’ or ‘intrinsically unstructured’ proteins lack a stable, well-defined structure under physiological conditions, existing in a continuum of conformations from the less to the more structured states.240–243”
Quote in the paperSubstantial claim0 of 4 sources checkedMay combine two claims.
PremisecitationMany proteins either contain at least one intrinsically disordered region or are completely disordered.
“Many proteins either contain at least one intrinsically disordered region (IDR) (such as intrinsically disordered domains and linkers in multidomain proteins)234,237 or are completely disordered (such as IDPs which are highly flexible and dynamic).238–239”
Quote in the paperNot a substantial claim0 of 4 sources checkedMay combine two claims.
Interpretationnone givenThe active state for a specific function is unique, unlike inactive states, and its stability or population can increase through an ensemble shift, such as by binding.
“The active state of a specific function is a unique state, which is not the case for the inactive states; its stability (population) may increase through a shift of the ensemble, e.g. via binding.”
Quote in the paperSubstantial claim- Rests on an assumption: For a given protein function, the active state is unique while inactive states are not unique.
May combine two claims.
PremisecitationThe PaaA2 antitoxin is highly compact in solution and exists as two preformed helices connected by a flexible linker, where the helices may act as molecular recognition elements for toxin inhibition.
“The conformational ensemble of PaaA2 is highly compact and in solution the protein exists as two preformed helices, connected by a flexible linker where the helices may act as molecular recognition elements for toxin inhibition.259”
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PremisecitationKukic et al. identified 10 residues in the calmodulin interdomain linker that change conformation upon substrate binding, including five flexible and five rigid residues.
“They identified 10 residues in the interdomain linker region that change their conformations upon substrate binding, including five flexible residues (Met76, Lys77, Thr79, Asp80 and Ser81) and five rigid residues (Arg74, Lys75, Asp78, Glu82 and Glu83).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [234] source
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Premisecitationp53 has more than a dozen phosphorylation and acetylation sites with different biological signals.
“One such example is the p53 protein, which has more than a dozen phosphorylation and acetylation sites with different biological signals.256”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [256] source
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PremisecitationThe structures of disordered proteins are not random; the disordered state has significant metastable structures.
“The structures of disordered proteins are not ‘random’. Rather, the disordered state has significant metastable structures.240–243,257”
Quote in the paperSubstantial claim0 of 5 sources checkedMay combine two claims.
InterpretationreasoningThe apparent challenge to the paradigm that function requires distinct 3D structure is not real, because function involves a specific selected state that may have marginal stability and low barriers, giving short residence times that can evade detection.
“Even though they appear to challenge the paradigm of structural biology, that function requires distinct 3D structure, this is not the case, since function involves a specific selected state, which may have marginal stability and low barriers, thus short residence time which may evade detection.”
Quote in the paperNot a substantial claim- Rests on an assumption: For a given protein function, the active state is unique while inactive states are not unique.
May combine two claims.
PremisecitationRegulation of unstructured proteins in cells can occur at multiple levels of mRNA transcription and degradation, protein translation and degradation, and fidelity control including post-translational modifications.
“The regulation of unstructured proteins in the cell can occur at multiple levels of mRNA transcription and degradation; protein translation and degradation; and fidelity control of transcription and translation, including post-translational modifications in functional/degradation control.254”
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PremisecitationOptimal linker length, intersubunit linker flexibility, and specific contacts between the linker and interface are needed to stabilize the active procaspase 3 state.
“The combination of optimal length, IL flexibility, and specific contacts between the IL and interface are needed to stabilize the active state.”
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PremisecitationAnti-correlation of distances between each L12 C-terminal domain and the anchor promotes L12's function in recruiting translation factors and controlling their ribosomal activity.
“It was suggested that anti-correlation of the distances between each C-terminal domain and the anchor promotes the function of L12 to recruit translation factors and control their activity on the ribosome.235”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [235] source
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PremisecitationIntrinsically disordered linkers connecting folded domains and intrinsically disordered domains usually encode conformational flexibility essential for protein function, including regulation of transcription and translation, cellular signaling, phosphorylation, regulation of large self-assemblies, and small molecule storage.
“Intrinsically disordered linkers connecting folded domains and intrinsically disordered domains usually encode the degrees of conformational flexibility essential for protein function,17,29,244–250,239,247,249–253 including regulation of transcription and translation, cellular signaling, phosphorylation, regulation of large multi-molecular self-assemblies and small molecule storage.249”
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- cites [244] source
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- cites [249] source
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PremisecitationInduced fit hypothesis suggests bound conformation can be induced by binding partner when complex conformation differs from unbound.
“The ‘induced fit’ hypothesis412 suggests that the bound conformation can be ‘induced’ by the binding partner when the conformation in the complexes differs from that in the unbound form.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [412] source
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PremisecitationHistone tail conformational ensembles consist of states with varying residual order; most tails are not fully disordered and exhibit distinct organization including α-helical elements and β-hairpins.
“demonstrated that the conformational ensembles of histone tails are composed of states with various degrees of residual order and most tails are not fully disordered, but show distinct conformational organization, containing α-helical elements and β-hairpins.368”
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InterpretationreasoningMSMs have potential to identify putative allosteric binding sites or differentiate agonists/antagonists using conformational information along functional pathways.
“Overall, these studies revealed the potential of MSMs to identify putative allosteric binding sites or to differentiate between agonists and antagonists using conformational information along putative functional pathways.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOligomeric proteins with two or more subunits make up about one third of cellular proteins, and most are symmetrical.
“Oligomeric proteins with two or more subunits comprise about one third of the cellular proteins,266–267 most of them symmetrical.266”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationIDPs adopt multiple conformations for function; multiple conformational ensembles collectively determine functions.
“IDPs adopt multiple conformations for function;377–378 that is, the multiple conformational ensembles collectively determine functions.”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMSMs have been applied to protein folding, ligand binding, conformational change, IDP dynamics/kinetics, and ATP permeation.
“Markov state models have been applied to a wide variety of problems, spanning protein folding,402 protein-ligand binding process,403 protein conformational change,404–405 the dynamics and kinetics of IDPs,369,406–407 and ATP permeation through membrane protein channels.408”
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PremisecitationProteins and their binding partners are flexible and exist in ensembles with certain conformational distributions.
“Proteins and their binding partners are flexible and exist in ensembles with certain conformational distributions.”
Quote in the paperSubstantial claim0 of 4 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMetadynamics is an enhanced sampling method widely used to explore conformational space of biomolecules.
“Similar to the REMD method, metadynamics is also an enhanced sampling method which is widely used to explore the conformational space of biomolecules.314,381”
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Premisenone givenREMD and metadynamics can provide structural and thermodynamic properties of proteins but do not reproduce kinetic rates and conformational dynamics.
“Enhanced sampling methods such as REMD and metadynamics can provide the structural and thermodynamic properties of proteins. However, they do not reproduce kinetic rates and conformational dynamics.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAcetylation of tau inhibits its function and promotes pathological aggregation.
“Acetylation of tau inhibits its function and promotes pathological aggregation.373–375”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationMD simulations of CypA show enzyme conformational ensembles recognize diverse inhibitors and bind different configurations of peptide substrate.
“Molecular dynamics simulations of CypA show that the ensembles of enzyme conformations recognize diverse inhibitors and bind different configurations of the peptide substrate.3”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] source
Not checked in the free run.
May combine two claims.
PremisecitationGPCRs exhibit multiple inactive and active conformations, and ligand binding alters the population balance between them.
“GPCRs exhibit multiple inactive and active conformations, and the population balance between these conformations is altered upon binding of ligands.415”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [415] source
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InterpretationcitationProtein conformational ensemble allows enzymes to catalyze multiple chemical steps and accommodates conformational reorganization required to stabilize transition states.
“The protein conformational ensemble not only allows enzymes to catalyze multiple chemical steps, but accommodates the conformational reorganization required to stabilize the transition states.449”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [449] source
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PremisecitationThe docking algorithm achieved 93% success on 10 protein ensembles (105 crystal structures, 87 ligands), significantly better than single rigid-receptor docking (75% average).
“The docking algorithm was validated on 10 protein ensembles containing 105 crystal structures and 87 ligands and achieved a success rate of 93%, significantly better than single rigid-receptor docking (75% on average).425”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [425] source
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InterpretationcitationReceptor activation depends on both low energy states and the range of conformations sampled by the receptor.
“Therefore, receptor activation depends on both low energy states and the range of the conformations sampled by the receptor.416”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [416] source
Not checked in the free run.
May combine two claims.
PremisecitationR55K substitution at CypA active site significantly decreases catalysis, indicating active site stability likely plays an important role in the chemical step.
“An earlier QM/MM study468 demonstrated that R55K substitution at the active site of CypA leads to a significant decrease in catalysis, indicating that the active site stability likely plays an important role in the chemical step of catalysis.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [468] source
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PremisecitationLigands can interact with similar targets in different conformations, and biological outcomes such as ERβ selective agonist depend on relative affinities of a ligand to ensembles of protein conformations.
“It has been shown that ligands can interact with similar targets in different conformations, and that the biological outcomes like ERβ selective agonist depend on the relative affinities of a ligand to ensembles of protein conformations.414”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [414] source
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Premisecitationc-Myc binding conformations are partially formed in the apo ensemble, suggesting conformational selection.
“Comparison of the apo and holo equilibrium ensembles reveals that c-Myc binding conformations are already partially formed in the apo ensemble, suggesting a conformational selection mechanism.432”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [432] source
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InterpretationcitationProtein motions necessary for catalysis may be an intrinsic property of the enzyme and might limit overall turnover rate.
“This correlation could suggest that protein motions necessary for catalysis are an intrinsic property of the enzyme and might even limit the overall turnover rate.469”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [469] source
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InterpretationcitationIn AlkB, conformational ensemble and population shift allow co-substrate binding prior to substrate and limit premature substrate release.
“The conformational ensemble and population shift allow the enzyme to bind the co-substrate prior to the substrate, and can also limit premature release of substrate.442”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [442] source
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PremisecitationThe disordered state has significant metastable structure character, and functionally relevant conformations may have higher population times than other conformations.
“The disordered state has a significant metastable structure character240–243,257 and functionally relevant conformations may have population times higher than of other conformations.240–242”
Quote in the paperSubstantial claim0 of 5 sources checkedMay combine two claims.
PremisecitationPromiscuous residues tend to be more flexible, and this flexibility permits a broader range of organizations in different conformers.
“They found that promiscuous residues tend to be more flexible, and this additional flexibility permits a broader range of organizations which could take place in different conformers in the ensemble.523”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [523] source
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PremisecitationThe most flexible proteins are disordered proteins, with some more folded than others.
“Obviously, the most flexible proteins are the disordered proteins, with some more folded than others.525”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [525] source
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PremisecitationThis bias implies centrosomal proteins adopt an ensemble of disordered and partially helical conformations, with helical conformations stabilized upon complex formation depending on pH and concentration.
“This bias implies that they adopt an ensemble of disordered and partially helical conformations, with the latter becoming stabilized when these proteins form complexes, depending on pH and concentration.527”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [527] source
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PremisecitationWeak complexes often have smaller, more planar interfaces with more polar residues.
“Often, weak complexes have smaller contact area and the interfaces are more planar and with more polar residues,511”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [511] source
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PremisecitationAntibody-antigen interfaces have fewer hot spot residues, but Tyr is a preferred hot spot residue for immunoglobulins.
“Even though antibody-antigen interfaces have fewer hot spot residues,496,518 Tyr is a preferred hot spot residue for immunoglobulins.119a”
Quote in the paperNot a substantial claim0 of 3 sources checkedMay combine two claims.
PremisecitationEph-ephrin recognition involves stepwise conformational selection and population shift, with two dynamic salt bridges between EphB4 and Ephrin-B2 contributing to specific recognition.
“Dynamic conformational changes during the Eph-ephrin recognition were found to be stepwise conformational selection and population shift events, with two dynamic salt bridges between EphB4 and Ephrin-B2 contributing to specific recognition.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [514] source
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PremisecitationSome protein associations last for the functional lifetime of the protein, while others are transient and repeatedly form and dissociate.
“Some associations are obligatory where one protein is bound to another throughout its functional lifetime, whereas others are transient, continuously forming and dissociating503–510.”
Quote in the paperNot a substantial claim0 of 8 sources checked- cites [503] source
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- cites [504] source
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- cites [505] source
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- cites [506] source
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- cites [507] source
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- cites [508] source
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- cites [509] source
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- cites [510] source
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May combine two claims.
PremisecitationNidogen-1 interactions with laminin variants indicate conformational ensembles of both individual proteins and the complex, implying different interaction modes through distinct interfaces.
“For example, the interactions of nidogen-1 with laminin variants indicate the existence of a conformational ensemble of both individual proteins and complex, implying different modes of interaction through distinct protein-protein interfaces.522”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [522] source
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PremisecitationCentrosomal proteins are larger than control human proteins and have predicted disordered regions covering 57% of their length versus 39% in the general human proteome.
“Centrosomal proteins tend to be larger than a control set of human proteins, and are rich in predicted disordered regions, which cover 57% of their length, compared to 39% in the general human proteome.526”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [526] source
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PremisecitationEphA4 binds ephrin-A1, ephrin-A2, ephrin-A4, ephrin-A5, and ephrin-B2 with affinities of 1.2 μm, 2.3 μm, 36 nm, 360 nm, and 10.8 μm, respectively, indicating varied ligand selectivity.
“the binding affinities of EphA4 with ephrin-A1, ephrin-A2, ephrin-A4, ephrin-A5, and ephrin-B2 are 1.2 μm, 2.3 μm, 36 nm, 360 nm, and 10.8 μm, respectively,512 indicating varied selectivity towards various ligands.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [512] source
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PremisecitationThis cellular ensemble strategy facilitates variable environmental responses and gain of function in network evolution.
“Such a cellular strategy facilitates variable response to the environment and gain of function in network evolution.535”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [535] source
Not checked in the free run.
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PremisecitationProtein disorder in the centrosome correlates with organism complexity in cell-type number, and disordered regions and phosphorylation contribute to mechanical properties and spatiotemporal regulation.
“Interestingly, protein disorder in the centrosome correlates with complexity with the number of cell types, and the structural heterogeneity conferred by the disordered regions and phosphorylation playing an important role in its mechanical properties and regulation in space and time.528”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [528] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningBecause RNA and DNA carry genetic information, protein-RNA/DNA interactions should ensure correct processing of genomic information.
“Since RNA and DNA carry generic information, protein-RNA/DNA interactions should ensure correct processing of genomic information.”
Quote in the paperNot a substantial claim- Rests on an assumption: Protein-protein and protein-RNA/DNA interactions follow the same physico-chemical principles.
- Rests on an assumption: RNA and DNA are dynamic molecules.
May combine two claims.
PremisecitationUnphosphorylated and unbound KID is disordered; pKID-KIX interaction causes cooperative folding and binding, forming two α-helices kinked near the phosphorylated site.
“When unphosphorylated and unbound, KID is disordered. Cooperative folding and binding occur upon pKID–KIX interaction, forming two α-helices kinked near the phosphorylated site.529”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [529] source
Not checked in the free run.
The authors state this as an assumption.
Protein function has been optimized by evolution.
“modulated by function which is optimized by evolution”
The paper relies on this without support.
For a given protein function, the active state is unique while inactive states are not unique.
“The active state of a specific function is a unique state, which is not the case for the inactive states;”
The paper relies on this without support.
Conformational states and dynamics observed in isolated, reconstituted, or computational systems correspond to functionally relevant states in the living cell.
“In the heterogeneous cellular environment, protein conformations including those of symmetric oligomers may differ across time and space.”
The paper relies on this without support.
Macromolecular crowding in cells can be represented by the experimental and simulation crowding models discussed.
“In the cellular environment, the high concentration of macromolecules creates crowding effects.”
The paper relies on this without support.
Antibody variable regions must be flexible to recognize highly diversified targets.
“Antibody variable regions are necessarily flexible to enable recognition of tremendously diversified targets.”
The paper relies on this without support.
Natively disordered proteins can form ordered complexes upon binding their partner.
“Upon binding their partner, natively disordered proteins can form ordered complexes.”
The paper relies on this without support.
Cell-signaling proteins have disproportionately intrinsically unstructured regions.
“Cell-signaling proteins also have disproportionately intrinsically unstructured regions.”
The paper relies on this without support.
Protein-protein and protein-RNA/DNA interactions follow the same physico-chemical principles.
“Protein-protein and protein-RNA/DNA interactions should follow the same physico-chemical principles.”
The paper relies on this without support.
RNA and DNA are dynamic molecules.
“Both RNA and DNA are dynamic molecules.”
The paper relies on this without support.
Protein conformational ensembles correlate with gene regulation.
“Protein conformational ensembles should correlate with gene regulation.”
The paper relies on this without support.
Biomacromolecules are dynamical objects that continuously interconvert between structures of varying energies.
“Biomacromolecules are dynamical objects; they continuously interconvert between structures with varying energies.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Native protein conformations are often described as time-averaged ensembles with Boltzmann-type distributions, especially for IDPs and proteins with IDRs.
“Native conformations of proteins are often described as time averaged ensembles of conformations with Boltzmann-type distributions, especially IDPs and proteins with IDRs100,101.”
From The power and pitfalls of AlphaFold2 for structure prediction beyond rigid globular proteins (2024) · cites this paper as [101]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Temperature and volume are interchanged in the variable definitions
MinorThe list assigns T to volume and V to temperature, but the paper explicitly defines V as volume earlier in the same section.
“Here Cv and Cp are the heat capacity of the system at constant volume and at constant pressure, and kB, m, T, V and βT is Boltzman constant, mass, volume, temperature, and isothermal compressibility of the system, respectively.”
“X2i=volume (V)”
Cites
Laio, A., & Parrinello, M. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.202427399 · Cited by 5,626 · see citing works
Protein folding and misfolding
Dobson, C. M. (2003) · Nature · doi:10.1038/nature02261 · Cited by 4,791 · see citing works
Replica-exchange molecular dynamics method for protein folding
Sugita, Y., & Okamoto, Y. (1999) · Chemical Physics Letters · doi:10.1016/s0009-2614(99)01123-9 · Cited by 4,499 · see citing works
Intrinsically unstructured proteins and their functions
Dyson, H. J., & Wright, P. E. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1589 · Cited by 3,871 · see citing works
Stochastic thermodynamics, fluctuation theorems and molecular machines
Seifert, U. (2012) · Reports on Progress in Physics · doi:10.1088/0034-4885/75/12/126001 · Cited by 3,300 · see citing works
The Energy Landscapes and Motions of Proteins
Frauenfelder, H., Sligar, S. G., & Wolynes, P. G. (1991) · Science · doi:10.1126/science.1749933 · Cited by 3,250 · see citing works
Well-Tempered Metadynamics: A Smoothly Converging and Tunable Free-Energy Method
Barducci, A., Bussi, G., & Parrinello, M. (2008) · Physical Review Letters · doi:10.1103/physrevlett.100.020603 · Cited by 3,184 · see citing works
Funnels, pathways, and the energy landscape of protein folding: A synthesis
Bryngelson, J. D., Onuchic, J. N., Socci, N. D., & Wolynes, P. G. (1995) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.340210302 · Cited by 2,648 · see citing works
Dynamic personalities of proteins
Henzler-Wildman, K., & Kern, D. (2007) · Nature · doi:10.1038/nature06522 · Cited by 2,545 · see citing works
The amyloid state and its association with protein misfolding diseases.
Knowles, T. P. J., Vendruscolo, M., & Dobson, C. M. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3810 · Cited by 2,382 · see citing works
From Levinthal to pathways to funnels
Dill, K. A., & Chan, H. S. (1997) · Nature Structural & Molecular Biology · doi:10.1038/nsb0197-10 · Cited by 2,293 · see citing works
THEORY OF PROTEIN FOLDING: The Energy Landscape Perspective
Onuchic, J. N., Luthey-Schulten, Z., & Wolynes, P. G. (1997) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.48.1.545 · Cited by 2,210 · see citing works
Application of a Theory of Enzyme Specificity to Protein Synthesis.
Koshland, D. (1958) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.44.2.98 · Cited by 2,140 · see citing works
Anatomy of hot spots in protein interfaces
Bogan, A. A., & Thorn, K. S. (1998) · Journal of Molecular Biology · doi:10.1006/jmbi.1998.1843 · Cited by 1,988 · see citing works
McCammon, J., Gelin, B., & Karplus, M. (1977) · Nature · doi:10.1038/267585a0 · Cited by 1,972 · see citing works
Energy landscapes of receptor–ligand bonds explored with dynamic force spectroscopy
Merkel, R., Nassoy, P., Leung, A., Ritchie, K. P., & Evans, E. A. (1999) · Nature · doi:10.1038/16219 · Cited by 1,724 · see citing works
Laio, A., & Gervasio, F. L. (2008) · Reports on Progress in Physics · doi:10.1088/0034-4885/71/12/126601 · Cited by 1,619 · see citing works
Accelerated molecular dynamics: A promising and efficient simulation method for biomolecules
Hamelberg, D., Mongan, J., & McCammon, J. A. (2004) · The Journal of Chemical Physics · doi:10.1063/1.1755656 · Cited by 1,536 · see citing works
Single-Molecule Enzymatic Dynamics
Lu, H. P. (1998) · Science · doi:10.1126/science.282.5395.1877 · Cited by 1,475 · see citing works
COT drives resistance to RAF inhibition through MAP kinase pathway reactivation
Johannessen, C. M., Boehm, J. S., Kim, S. Y., Thomas, S. R., Wardwell, L., Johnson, L. A., Emery, C. M., Stransky, N., Cogdill, A. P., Barretina, J., et al. (2010) · Nature · doi:10.1038/nature09627 · Cited by 1,460 · see citing works
Intrinsically Disordered Proteins in Human Diseases: Introducing the D 2 Concept
Uversky, V. N., Oldfield, C. J., & Dunker, A. K. (2008) · Annual Review of Biophysics · doi:10.1146/annurev.biophys.37.032807.125924 · Cited by 1,406 · see citing works
Principles of docking: An overview of search algorithms and a guide to scoring functions
Halperin, I., Ma, B., Wolfson, H., & Nussinov, R. (2002) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.10115 · Cited by 1,294 · see citing works
Self-citationPost-translational modification of p53 in tumorigenesis
Bode, A. M., & Dong, Z. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1455 · Cited by 1,270 · see citing works
Putnam, C. D., Hammel, M., Hura, G. L., & Tainer, J. A. (2007) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583507004635 · Cited by 1,184 · see citing works
Structural Characterization of Flexible Proteins Using Small-Angle X-ray Scattering
Bernadó, P., Mylonas, E., Petoukhov, M. V., Blackledge, M. J., & Svergun, D. I. (2007) · Journal of the American Chemical Society · doi:10.1021/ja069124n · Cited by 1,172 · see citing works
Dill, K. A., Ozkan, S. B., Shell, M. S., & Weikl, T. R. (2008) · Annual Review of Biophysics · doi:10.1146/annurev.biophys.37.092707.153558 · Cited by 1,163 · see citing works
Flexible nets: The roles of intrinsic disorder in protein interaction networks
Dunker, A. K., Cortese, M. S., Romero, P., Iakoucheva, L. M., & Uversky, V. N. (2005) · The FEBS Journal · doi:10.1111/j.1742-4658.2005.04948.x · Cited by 1,122 · see citing works
ProDy : Protein Dynamics Inferred from Theory and Experiments
Bakan, A., Meireles, L., & Bahar, İ. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr168 · Cited by 1,113 · see citing works
Wolynes, P., Onuchic, J., & Thirumalai, D. (1995) · Science · doi:10.1126/science.7886447 · Cited by 1,080 · see citing works
Steered molecular dynamics and mechanical functions of proteins
Isralewitz, B., Gao, M., & Schulten, K. J. (2001) · Current Opinion in Structural Biology · doi:10.1016/s0959-440x(00)00194-9 · Cited by 1,069 · see citing works
Schliwa, M., & Woehlke, G. (2003) · Nature · doi:10.1038/nature01601 · Cited by 1,069 · see citing works
Intrinsic dynamics of an enzyme underlies catalysis
Eisenmesser, E., Millet, Ó., Labeikovsky, W., Korzhnev, D., Wolf-Watz, M., Bosco, D. A., Skalicky, J., Kay, L., & Kern, D. (2005) · Nature · doi:10.1038/nature04105 · Cited by 1,057 · see citing works
Recognition Dynamics Up to Microseconds Revealed from an RDC-Derived Ubiquitin Ensemble in Solution
Lange, O. F., Lakomek, N., Farès, C., Schroeder, G. F., Walter, K. F. A., Becker, S., Meiler, J., Grubmüller, H., Griesinger, C., & de Groot, B. L. (2008) · Science · doi:10.1126/science.1157092 · Cited by 1,044 · see citing works
Mechanism of coupled folding and binding of an intrinsically disordered protein
Sugase, K., Dyson, H. J., & Wright, P. E. (2007) · Nature · doi:10.1038/nature05858 · Cited by 1,040 · see citing works
Parallel tempering algorithm for conformational studies of biological molecules
Hansmann, U. H. E. (1997) · Chemical Physics Letters · doi:10.1016/s0009-2614(97)01198-6 · Cited by 1,003 · see citing works
Hyperdynamics: Accelerated Molecular Dynamics of Infrequent Events
Voter, A. F. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.3908 · Cited by 996 · see citing works
Structural Symmetry and Protein Function
Goodsell, D. S., & Olson, A. J. (2000) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.29.1.105 · Cited by 950 · see citing works
Acetylation of Tau Inhibits Its Degradation and Contributes to Tauopathy
Min, S.-W., Cho, S.-H., Zhou, Y., Schroeder, S., Haroutunian, V., Seeley, W. W., Huang, E. J., Shen, Y., Masliah, E., Mukherjee, C., et al. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.044 · Cited by 949 · see citing works
Structural Basis for Allosteric Regulation of GPCRs by Sodium Ions
Liu, W., Chun, E., Thompson, A. A., Chubukov, P., Xu, F., Katritch, V., Han, G. W., Roth, C., Heitman, L. H., IJzerman, A. P., et al. (2012) · Science · doi:10.1126/science.1219218 · Cited by 948 · see citing works
Diversity of protein–protein interactions
Nooren, I. M. A., & Thornton, J. (2003) · EMBO Journal · doi:10.1093/emboj/cdg359 · Cited by 942 · see citing works
Probing the free-energy surface for protein folding with single-molecule fluorescence spectroscopy
Schuler, B., Lipman, E. A., & Eaton, W. A. (2002) · Nature · doi:10.1038/nature01060 · Cited by 921 · see citing works
Intrinsic motions along an enzymatic reaction trajectory
Henzler‐Wildman, K. A., Thai, V., Lei, M., Ott, M., Wolf‐Watz, M., Fenn, T. D., Pozharski, E. V., Wilson, M. A., Petsko, G. A., Karplus, M., et al. (2007) · Nature · doi:10.1038/nature06410 · Cited by 891 · see citing works
Parallel Tempering Algorithm for Conformational Studies of Biological MoleculesPreprint
Hansmann, U. H. E. (1997) · Cited by 886 · see citing works
Is allostery an intrinsic property of all dynamic proteins?
Gunasekaran, K., Ma, B., & Nussinov, R. (2004) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20232 · Cited by 882 · see citing works
Self-citationVideo imaging of walking myosin V by high-speed atomic force microscopy
Kodera, N., Yamamoto, D., Ishikawa, R., & Ando, T. (2010) · Nature · doi:10.1038/nature09450 · Cited by 836 · see citing works
Protein states and proteinquakes.
Ansari, A., Berendzen, J., Bowne, S. F., Frauenfelder, H., Iben, I. E., Sauke, T. B., Shyamsunder, E., & Young, R. D. (1985) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.82.15.5000 · Cited by 828 · see citing works
Csermely, P., Palotai, R., & Nussinov, R. (2010) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2010.04.009 · Cited by 821 · see citing works
Self-citationCarrell, R. W., & Lomas, D. A. (1997) · The Lancet · doi:10.1016/s0140-6736(97)02073-4 · Cited by 806 · see citing works
Markov state models of biomolecular conformational dynamics
Chodera, J. D., & Noé, F. (2014) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2014.04.002 · Cited by 776 · see citing works
Allostery in Disease and in Drug Discovery
Nussinov, R., & Tsai, C. (2013) · Cell · doi:10.1016/j.cell.2013.03.034 · Cited by 764 · see citing works
Self-citationA unified model of protein dynamics
Frauenfelder, H., Chen, G., Berendzen, J., Fenimore, P. W., Jansson, H., McMahon, B. H., Stroe, I., Swenson, J., & Young, R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900336106 · Cited by 760 · see citing works
Enzyme Dynamics During Catalysis
Eisenmesser, E. Z., Bosco, D. A., Akke, M., & Kern, D. (2002) · Science · doi:10.1126/science.1066176 · Cited by 732 · see citing works
The acetylation of tau inhibits its function and promotes pathological tau aggregation
Cohen, T. J., Guo, J. L., Hurtado, D. E., Kwong, L. K., Mills, I. P., Trojanowski, J. Q., & Lee, V. M. Y. (2011) · Nature Communications · doi:10.1038/ncomms1255 · Cited by 724 · see citing works
Antibody Multispecificity Mediated by Conformational Diversity
James, L. C., Roversi, P., & Tawfik, D. S. (2003) · Science · doi:10.1126/science.1079731 · Cited by 719 · see citing works
Simultaneous determination of protein structure and dynamics
Lindorff‐Larsen, K., Best, R. B., DePristo, M. A., Dobson, C. M., & Vendruscolo, M. (2005) · Nature Cell Biology · doi:10.1038/nature03199 · Cited by 715 · see citing works
Protein folding studied by single-molecule FRET
Schuler, B., & Eaton, W. A. (2008) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2007.12.003 · Cited by 698 · see citing works
Everything you wanted to know about Markov State Models but were afraid to ask
Pande, V. S., Beauchamp, K., & Bowman, G. R. (2010) · Methods · doi:10.1016/j.ymeth.2010.06.002 · Cited by 698 · see citing works
Principles of Protein−Protein Interactions: What are the Preferred Ways For Proteins To Interact?
Keskin, O., Gursoy, A., Ma, B., & Nussinov, R. (2008) · Chemical Reviews · doi:10.1021/cr040409x · Cited by 697 · see citing works
Self-citationDiffusion, Crowding & Protein Stability in a Dynamic Molecular Model of the Bacterial Cytoplasm
McGuffee, S. R., & Elcock, A. H. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000694 · Cited by 693 · see citing works
Allostery and cooperativity revisited
Cui, Q., & Karplus, M. (2008) · Protein Science · doi:10.1110/ps.03259908 · Cited by 680 · see citing works
Slaving: Solvent fluctuations dominate protein dynamics and functions
Fenimore, P. W., Frauenfelder, H., McMahon, B. H., & Parak, F. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.212637899 · Cited by 677 · see citing works
DNA binding site sequence directs glucocorticoid receptor structure and activity
Meijsing, S. H., Pufall, M. A., So, A. Y., Bates, D. L., Chen, L., & Yamamoto, K. R. (2009) · Science · doi:10.1126/science.1164265 · Cited by 673 · see citing works
Allosteric regulation and catalysis emerge via a common route
Goodey, N. M., & Benkovic, S. J. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.98 · Cited by 667 · see citing works
Lipid–protein interactions in double-layered two-dimensional AQP0 crystals
Gonen, T., Cheng, Y., Piotr Sliz, A., Hiroaki, Y., Fujiyoshi, Y., Harrison, S. C., & Walz, T. (2005) · Nature · doi:10.1038/nature04321 · Cited by 663 · see citing works
Complete reconstruction of an enzyme-inhibitor binding process by molecular dynamics simulations
Buch, I., Giorgino, T., & De Fabritiis, G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1103547108 · Cited by 655 · see citing works
Structural Polymorphism of 441-Residue Tau at Single Residue Resolution
Mukrasch, M. D., Bibow, S., Korukottu, J., Jeganathan, S., Biernat, J., Griesinger, C., Mandelkow, E., & Zweckstetter, M. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000034 · Cited by 652 · see citing works
Folding funnels, binding funnels, and protein function
Tsai, C., Kumar, S., Ma, B., & Nussinov, R. (1999) · Protein Science · doi:10.1110/ps.8.6.1181 · Cited by 648 · see citing works
Self-citationKarplus, M., & Weaver, D. L. (1976) · Nature · doi:10.1038/260404a0 · Cited by 629 · see citing works
Unfolded Proteins and Protein Folding Studied by NMR
Dyson, H. J., & Wright, P. E. (2004) · Chemical Reviews · doi:10.1021/cr030403s · Cited by 628 · see citing works
A Bias-Exchange Approach to Protein Folding
Piana, S., & Laio, A. (2007) · The Journal of Physical Chemistry B · doi:10.1021/jp067873l · Cited by 600 · see citing works
Advanced ensemble modelling of flexible macromolecules using X-ray solution scattering
Tria, G., Mertens, H. D. T., Kachala, M., & Svergun, D. I. (2015) · IUCrJ · doi:10.1107/s205225251500202x · Cited by 597 · see citing works
Folding and binding cascades: Dynamic landscapes and population shifts
Kumar, S., Ma, B., Tsai, C., Sinha, N., & Nussinov, R. (2000) · Protein Science · doi:10.1110/ps.9.1.10 · Cited by 595 · see citing works
Self-citationMa, B., Elkayam, T., Wolfson, H., & Nussinov, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1030237100 · Cited by 595 · see citing works
Self-citationTwo-State Allosteric Behavior in a Single-Domain Signaling Protein
Volkman, B. F., Lipson, D., Wemmer, D. E., & Kern, D. (2001) · Science · doi:10.1126/science.291.5512.2429 · Cited by 594 · see citing works
Folding funnels and binding mechanisms
Ma, B., Kumar, S., Tsai, C.-J., & Nussinov, R. (1999) · Protein Engineering, Design and Selection · doi:10.1093/protein/12.9.713 · Cited by 594 · see citing works
Self-citationStructural Characterisation and Functional Significance of Transient Protein–Protein Interactions
Nooren, I., & Thornton, J. M. (2003) · Journal of Molecular Biology · doi:10.1016/s0022-2836(02)01281-0 · Cited by 587 · see citing works
A systems approach to measuring the binding energy landscapes of transcription factors.
Maerkl, S. J., & Quake, S. R. (2007) · Science · doi:10.1126/science.1131007 · Cited by 584 · see citing works
Amyloid β Protein and Alzheimer’s Disease: When Computer Simulations Complement Experimental Studies
Nasica-Labouze, J., Nguyen, P. H., Sterpone, F., Berthoumieu, O., Buchete, N., Côté, S., Simone, A. D., Doig, A. J., Faller, P., Garcı́a, A. E., et al. (2015) · Chemical Reviews · doi:10.1021/cr500638n · Cited by 583 · see citing works
Persistence of Native-Like Topology in a Denatured Protein in 8 M Urea
Shortle, D., & Ackerman, M. S. (2001) · Science · doi:10.1126/science.1060438 · Cited by 583 · see citing works
Molecular Mechanism of β-Arrestin-Biased Agonism at Seven-Transmembrane Receptors
Reiter, É., Ahn, S., Shukla, A. K., & Lefkowitz, R. J. (2011) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev.pharmtox.010909.105800 · Cited by 582 · see citing works
Conformational selection or induced fit: A flux description of reaction mechanism
Hammes, G. G., Chang, Y.-C., & Oas, T. G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907195106 · Cited by 577 · see citing works
Coarse-Graining Methods for Computational Biology
Saunders, M. G., & Voth, G. A. (2013) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-083012-130348 · Cited by 567 · see citing works
Waugh, D. F. (1954) · Advances in protein chemistry · doi:10.1016/s0065-3233(08)60210-7 · Cited by 566 · see citing works
Hirata, F. (2004) · Kluwer Academic Publishers eBooks · doi:10.1007/1-4020-2590-4 · Cited by 529 · see citing works
Fenimore, P. W., Frauenfelder, H., McMahon, B. H., & Young, R. D. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0405573101 · Cited by 524 · see citing works
Toward an outline of the topography of a realistic protein-folding funnel.
Onuchic, J. N., Wolynes, P. G., Luthey-Schulten, Z., & Socci, N. D. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.8.3626 · Cited by 523 · see citing works
Keskin, O., Ma, B., & Nussinov, R. (2005) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.10.077 · Cited by 519 · see citing works
Self-citationHidden alternative structures of proline isomerase essential for catalysis
Fraser, J. S., Clarkson, M. W., Degnan, S. C., Erion, R., Kern, D., & Alber, T. (2009) · Nature · doi:10.1038/nature08615 · Cited by 509 · see citing works
At the dawn of the 21st century: Is dynamics the missing link for understanding enzyme catalysis?
Kamerlin, S. C. L., & Warshel, A. (2009) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.22654 · Cited by 480 · see citing works
Kennedy, D., & Norman, C. A. (2005) · Science · doi:10.1126/science.309.5731.75 · Cited by 468 · see citing works
Tight Regulation of Unstructured Proteins: From Transcript Synthesis to Protein Degradation
Gsponer, J., Futschik, M. E., Teichmann, S. A., & Babu, M. M. (2008) · Science · doi:10.1126/science.1163581 · Cited by 466 · see citing works
A dissection of specific and non-specific protein-protein interfaces.
Bahadur, R., Chakrabarti, P., Rodier, F., & Janin, J. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2003.12.073 · Cited by 464 · see citing works
Network of coupled promoting motions in enzyme catalysis
Agarwal, P. K., Billeter, S. R., Rajagopalan, P. T. R., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.052005999 · Cited by 461 · see citing works
Allostery: Absence of a change in shape does not imply that allostery is not at play
Tsai, C.-J., del Sol, A., & Nussinov, R. (2008) · Journal of Molecular Biology · doi:10.1016/j.jmb.2008.02.034 · Cited by 453 · see citing works
Self-citationTransition networks for modeling the kinetics of conformational change in macromolecules.
Noé, F., & Fischer, S. (2008) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2008.01.008 · Cited by 450 · see citing works
Polymorphic Phase Transitions in Liquids and Glasses
Poole, P. H., Grande, T., Angell, C. A., & McMillan, P. F. (1997) · Science · doi:10.1126/science.275.5298.322 · Cited by 438 · see citing works
Atomic-level characterization of disordered protein ensembles
Mittag, T., & Forman-Kay, J. D. (2007) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2007.01.009 · Cited by 436 · see citing works
Equilibrium Free Energies from Nonequilibrium Metadynamics
Bussi, G., Laio, A., & Parrinello, M. (2006) · Physical Review Letters · doi:10.1103/physrevlett.96.090601 · Cited by 436 · see citing works
Bernadó, P., Blanchard, L., Timmins, P. A., Marion, D., Ruigrok, R. W. H., & Blackledge, M. J. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506202102 · Cited by 436 · see citing works
An analysis of protein domain linkers: their classification and role in protein folding
George, R. A., & Heringa, J. (2002) · Protein Engineering Design and Selection · doi:10.1093/protein/15.11.871 · Cited by 429 · see citing works
Prediction of protein-protein interaction sites using patch analysis 1 1Edited by G. von Heijne
Jones, S., & Thornton, J. M. (1997) · Journal of Molecular Biology · doi:10.1006/jmbi.1997.1233 · Cited by 426 · see citing works
Multiple diverse ligands binding at a single protein site: A matter of pre‐existing populations
Ma, B., Shatsky, M., Wolfson, H. J., & Nussinov, R. (2002) · Protein Science · doi:10.1110/ps.21302 · Cited by 420 · see citing works
Self-citationStructure of tumor suppressor p53 and its intrinsically disordered N-terminal transactivation domain
Wells, M. A., Tidow, H., Rutherford, T. J., Markwick, P. R. L., Jensen, M. R., Mylonas, E., Svergun, D. I., Blackledge, M. J., & Fersht, A. R. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0801353105 · Cited by 420 · see citing works
Open-to-closed transition in apo maltose-binding protein observed by paramagnetic NMR
Tang, C., Schwieters, C. D., & Clore, G. M. (2007) · Nature · doi:10.1038/nature06232 · Cited by 416 · see citing works
Cloud-based simulations on Google Exacycle reveal ligand-modulation of GPCR activation pathways
Kohlhoff, K. J., Shukla, D., Lawrenz, M., Bowman, G., Konerding, D., Belov, D., Altman, R., & Pande, V. (2013) · Nature Chemistry · doi:10.1038/nchem.1821 · Cited by 413 · see citing works
Thermodynamic fluctuations in protein molecules.
Cooper, A. J. (1976) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.73.8.2740 · Cited by 411 · see citing works
Protein clefts in molecular recognition and function.
Laskowski, R. A., Luscombe, N. M., Swindells, M. B., & Thornton, J. M. (1996) · PubMed Central · doi:10.1002/pro.5560051206 · Cited by 409 · see citing works
To milliseconds and beyond: challenges in the simulation of protein folding
Lane, T. J., Shukla, D., Beauchamp, K. A., & Pande, V. S. (2013) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2012.11.002 · Cited by 409 · see citing works
A Unified View of “How Allostery Works”
Tsai, C.-J., & Nussinov, R. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003394 · Cited by 401 · see citing works
Self-citationHuang, S., & Zou, X. (2006) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.21214 · Cited by 400 · see citing works
Interplay of α-synuclein binding and conformational switching probed by single-molecule fluorescence
Ferreon, A. C. M., Gambin, Y., Lemke, E. A., & Deniz, A. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0809232106 · Cited by 400 · see citing works
Single molecule fluorescence experiments determine protein folding transition path times
Chung, H.-S., McHale, K. J., Louis, J., & Eaton, W. (2012) · Science · doi:10.1126/science.1215768 · Cited by 392 · see citing works
Atomic Structure of Human Adenovirus by Cryo-EM Reveals Interactions Among Protein Networks
Liu, H., Jin, L., Koh, S. B. S., Atanasov, I. C., Schein, S., Wu, L., & Zhou, Z. H. (2010) · Science · doi:10.1126/science.1187433 · Cited by 384 · see citing works
Cryo-EM: A Unique Tool for the Visualization of Macromolecular Complexity
Nogales, E., & Scheres, S. H. W. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.02.019 · Cited by 381 · see citing works
Structure, function, and evolution of transient and obligate protein–protein interactions
Mintseris, J., & Weng, Z. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0502667102 · Cited by 373 · see citing works
The Complex Folding Network of Single Calmodulin Molecules
Stigler, J., Ziegler, F., Gieseke, A., Gebhardt, J. C. M., & Rief, M. (2011) · Science · doi:10.1126/science.1207598 · Cited by 372 · see citing works
The Origin of Allosteric Functional Modulation: Multiple Pre-existing Pathways
del Sol, A., Tsai, C., Ma, B., & Nussinov, R. (2009) · Structure · doi:10.1016/j.str.2009.06.008 · Cited by 365 · see citing works
Self-citationFolding and binding cascades: Shifts in energy landscapes
Tsai, C.-J., Ma, B., & Nussinov, R. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.18.9970 · Cited by 365 · see citing works
Self-citationLocalizing frustration in native proteins and protein assemblies
Ferreiro, D. U., Hegler, J. A., Komives, E. A., & Wolynes, P. G. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0709915104 · Cited by 363 · see citing works
Fluctuating Enzymes: Lessons from Single-Molecule Studies
Min, W., English, B. P., Luo, G., Cherayil, B. J., Kou, S. C., & Xie, X. S. (2005) · Accounts of Chemical Research · doi:10.1021/ar040133f · Cited by 362 · see citing works
The nature of folded states of globular proteins
Honeycutt, J. D., & Thirumalai, D. (1992) · Biopolymers · doi:10.1002/bip.360320610 · Cited by 360 · see citing works
Ozenne, V., Bauer, F., Salmon, L., Huang, J., Jensen, M. R., Segard, S., Bernadó, P., Charavay, C., & Blackledge, M. J. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts172 · Cited by 356 · see citing works
Protein oligomerization: How and why
Ali, M. H., & Imperiali, B. (2005) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2005.05.037 · Cited by 349 · see citing works
Okamoto, Y. (2004) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2003.12.009 · Cited by 347 · see citing works
Surface Sites for Engineering Allosteric Control in Proteins
Lee, J., Natarajan, M., Nashine, V. C., Socolich, M., Vo, T., Russ, W. P., Benkovic, S. J., & Ranganathan, R. (2008) · Science · doi:10.1126/science.1159052 · Cited by 345 · see citing works
Disorder and Sequence Repeats in Hub Proteins and Their Implications for Network Evolution
Dosztányi, Z., Chen, J., Dunker, A. K., Simon, I., & Tompa, P. (2006) · Journal of Proteome Research · doi:10.1021/pr060171o · Cited by 341 · see citing works
Frauenfelder, H., McMahon, B. H., Austin, R. H., Chu, K., & Groves, J. T. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.041614298 · Cited by 338 · see citing works
Extended disordered proteins: targeting function with less scaffold
Gunasekaran, K., Tsai, C., Kumar, S., Zanuy, D., & Nussinov, R. (2003) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(03)00003-3 · Cited by 338 · see citing works
Self-citationActivation pathway of Src kinase reveals intermediate states as targets for drug design
Shukla, D., Meng, Y., Roux, B., & Pande, V. S. (2014) · Nature Communications · doi:10.1038/ncomms4397 · Cited by 333 · see citing works
From One to Many: Dynamic Assembly and Collective Behavior of Self-Propelled Colloidal Motors
Wang, W., Duan, W., Ahmed, S., et al. (2015) · Accounts of Chemical Research · doi:10.1021/acs.accounts.5b00025 · Cited by 328 · see citing works
Tsai, C., del Sol, A., & Nussinov, R. (2009) · Molecular BioSystems · doi:10.1039/b819720b · Cited by 324 · see citing works
Self-citationProtein topology determines binding mechanism
Levy, Y., Wolynes, P. G., & Onuchic, J. N. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2534828100 · Cited by 324 · see citing works
Sites of Tau Important for Aggregation Populate β-Structure and Bind to Microtubules and Polyanions
Mukrasch, M. D., Biernat, J., von Bergen, M., Griesinger, C., Mandelkow, E., & Zweckstetter, M. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m501565200 · Cited by 324 · see citing works
Davtyan, A., Schafer, N. P., Zheng, W., Clementi, C., Wolynes, P. G., & Papoian, G. A. (2012) · The Journal of Physical Chemistry B · doi:10.1021/jp212541y · Cited by 320 · see citing works
Structural and Energetic Basis of Allostery
Hilser, V. J., Wrabl, J. O., & Motlagh, H. N. (2012) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-050511-102319 · Cited by 319 · see citing works
Ferreiro, D. U., Komives, E. A., & Wolynes, P. G. (2014) · Quarterly Reviews of Biophysics · doi:10.1017/s0033583514000092 · Cited by 314 · see citing works
Leitner, D. M. (2008) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.59.032607.093606 · Cited by 311 · see citing works
NMR Characterization of Long-Range Order in Intrinsically Disordered Proteins
Salmon, L., Nodet, G., Ozenne, V., Yin, G., Jensen, M. R., Zweckstetter, M., & Blackledge, M. J. (2010) · Journal of the American Chemical Society · doi:10.1021/ja101645g · Cited by 304 · see citing works
Solution structure of a minor and transiently formed state of a T4 lysozyme mutant
Bouvignies, G., Vallurupalli, P., Hansen, D. F., Correia, B. E., Lange, O. F., Bah, A., Vernon, R. M., Dahlquist, F. W., Baker, D. A., & Kay, L. E. (2011) · Nature · doi:10.1038/nature10349 · Cited by 301 · see citing works
Using generalized ensemble simulations and Markov state models to identify conformational states
Bowman, G. R., Huang, X., & Pande, V. S. (2009) · Methods · doi:10.1016/j.ymeth.2009.04.013 · Cited by 301 · see citing works
Jensen, M. R., Zweckstetter, M., Huang, J., & Blackledge, M. J. (2014) · Chemical Reviews · doi:10.1021/cr400688u · Cited by 298 · see citing works
Growing length and time scales in glass-forming liquids
Karmakar, S., Dasgupta, C., & Sastry, S. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811082106 · Cited by 296 · see citing works
Protein Crowding Tunes Protein Stability
Miklos, A. C., Sarkar, M., Wang, Y., & Pielak, G. J. (2011) · Journal of the American Chemical Society · doi:10.1021/ja200067p · Cited by 295 · see citing works
Unstructural biology coming of age
Tompa, P. (2011) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2011.03.012 · Cited by 292 · see citing works
BiGGER: A new (soft) docking algorithm for predicting protein interactions
Palma, P. N., Krippahl, L., Wampler, J. E., & Moura, J. J. G. (2000) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(20000601)39:4 · Cited by 292 · see citing works
Self-citationfpocket: online tools for protein ensemble pocket detection and tracking
Schmidtke, P., Guilloux, V. L., Maupetit, J., & Tufféry, P. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq383 · Cited by 292 · see citing works
Single-Molecule Protein Unfolding and Translocation by an ATP-Fueled Proteolytic Machine
Aubin‐Tam, M., Olivares, A. O., Sauer, R. T., Baker, T. A., & Lang, M. J. (2011) · Cell · doi:10.1016/j.cell.2011.03.036 · Cited by 291 · see citing works
Pathological Unfoldomics of Uncontrolled Chaos: Intrinsically Disordered Proteins and Human Diseases
Uversky, V. N., Davé, V., Iakoucheva, L. M., Malaney, P., Metallo, S. J., Pathak, R. R., & Joerger, A. C. (2014) · Chemical Reviews · doi:10.1021/cr400713r · Cited by 288 · see citing works
Single-molecule spectroscopy of protein folding dynamics—expanding scope and timescales
Schuler, B., & Hofmann, H. (2013) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2012.10.008 · Cited by 286 · see citing works
Free-Energy Landscape of Enzyme Catalysis
Benkovic, S. J., Hammes, G. G., & Hammes‐Schiffer, S. (2008) · Biochemistry · doi:10.1021/bi800049z · Cited by 282 · see citing works
ClpX(P) Generates Mechanical Force to Unfold and Translocate Its Protein Substrates
Maillard, R. A., Chistol, G., Sen, M., Righini, M., Tan, J., Kaiser, C., Hodges, H. C., Martin, A., & Bustamante, C. (2011) · Cell · doi:10.1016/j.cell.2011.04.010 · Cited by 280 · see citing works
Bowman, G. R., & Geissler, P. L. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1209309109 · Cited by 279 · see citing works
Direct observation of hierarchical protein dynamics
Lewandowski, J. R., Halse, M. E., Blackledge, M. J., et al. (2015) · Science · doi:10.1126/science.aaa6111 · Cited by 278 · see citing works
Enhanced Sampling in the Well-Tempered Ensemble
Bonomi, M., & Parrinello, M. (2010) · Physical Review Letters · doi:10.1103/physrevlett.104.190601 · Cited by 276 · see citing works
Optimization of specificity in a cellular protein interaction network by negative selection
Zarrinpar, A., Park, S.-H., & Lim, W. A. (2003) · Nature · doi:10.1038/nature02178 · Cited by 274 · see citing works
Yang, L.-W., & Bahar, I. (2005) · Structure · doi:10.1016/j.str.2005.03.015 · Cited by 273 · see citing works
Mittag, T., Marsh, J. A., Grishaev, A., Orlicky, S. M., Lin, H., Sicheri, F., Tyers, M., & Forman-Kay, J. D. (2010) · Structure · doi:10.1016/j.str.2010.01.020 · Cited by 268 · see citing works
The Levinthal paradox: yesterday and today
Karplus, M. (1997) · Folding and Design · doi:10.1016/s1359-0278(97)00067-9 · Cited by 265 · see citing works
One size does not fit all: The oligomeric states of αB crystallin
Delbecq, S. P., & Klevit, R. E. (2013) · FEBS Letters · doi:10.1016/j.febslet.2013.01.021 · Cited by 264 · see citing works
Markov State Models Provide Insights into Dynamic Modulation of Protein Function
Shukla, D., Hernández, C. X., Weber, J. K., & Pande, V. S. (2015) · Accounts of Chemical Research · doi:10.1021/ar5002999 · Cited by 257 · see citing works
Protein dynamics and allostery: an NMR view
Tzeng, S., & Kalodimos, C. G. (2010) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2010.10.007 · Cited by 256 · see citing works
NMR Residual Dipolar Couplings as Probes of Biomolecular Dynamics
Tolman, J. R., & Ruan, K. (2006) · Chemical Reviews · doi:10.1021/cr040429z · Cited by 256 · see citing works
Single-molecule spectroscopy of protein conformational dynamics in live eukaryotic cells
König, I., Zarrine‐Afsar, A., Aznauryan, M. G., Soranno, A., Wunderlich, B., Dingfelder, F., Stüber, J. C., Plückthun, A., Nettels, D., & Schuler, B. (2015) · Nature Methods · doi:10.1038/nmeth.3475 · Cited by 250 · see citing works
Volkov, A. N., Worrall, J. A. R., Holtzmann, E., & Ubbink, M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603551103 · Cited by 248 · see citing works
Defining Long-Range Order and Local Disorder in Native α-Synuclein Using Residual Dipolar Couplings
Bernadó, P., Bertoncini, C. W., Griesinger, C., Zweckstetter, M., & Blackledge, M. J. (2005) · Journal of the American Chemical Society · doi:10.1021/ja055538p · Cited by 241 · see citing works
The modular architecture of protein–protein binding interfaces
Reichmann, D., Rahat, O., Albeck, S., Meged, R., Dym, O., & Schreiber, G. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0407280102 · Cited by 239 · see citing works
Conformational transitions in DNA polymerase I revealed by single-molecule FRET
Santoso, Y., Joyce, C., Potapova, O., Reste, L. L., Hohlbein, J., Torella, J., Grindley, N. D., & Kapanidis, A. (2009) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0910909107 · Cited by 238 · see citing works
Molecular driving forces determining potassium channel slow inactivation
Cordero-Morales, J. F., Jogini, V., Lewis, A., Vásquez, V., Cortes, D. M., Roux, B., & Perozo, E. (2007) · Nature Structural & Molecular Biology · doi:10.1038/nsmb1309 · Cited by 236 · see citing works
Exploring the folding landscape of a structured RNA
Russell, R., Zhuang, X., Babcock, H. P., Millett, I. S., Doniach, S., Chu, S., & Herschlag, D. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.221593598 · Cited by 235 · see citing works
Reconstructing Folding Energy Landscapes by Single-Molecule Force Spectroscopy
Woodside, M. T., & Block, S. M. (2014) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-051013-022754 · Cited by 235 · see citing works
HingeProt: Automated prediction of hinges in protein structures
Emekli, U., Schneidman‐Duhovny, D., Wolfson, H. J., Nussinov, R., & Haliloǧlu, T. (2007) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.21613 · Cited by 223 · see citing works
Self-citationDynamic Allostery: Linkers Are Not Merely Flexible
Ma, B., Tsai, C.-J., Haliloğlu, T., & Nussinov, R. (2011) · Structure · doi:10.1016/j.str.2011.06.002 · Cited by 222 · see citing works
Self-citationHigh-Pressure Chemical Biology and Biotechnology
Silva, J. L., de Oliveira, A. C., Vieira, T. C. R. G., de Oliveira, G. A. P., Suarez, M. C., & Foguel, D. (2014) · Chemical Reviews · doi:10.1021/cr400204z · Cited by 222 · see citing works
RRM–RNA recognition: NMR or crystallography…and new findings
Daubner, G. M., Cléry, A., & Allain, F. H. ‐. (2012) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2012.11.006 · Cited by 219 · see citing works
Describing intrinsically disordered proteins at atomic resolution by NMR
Jensen, M. R., Ruigrok, R. W. H., & Blackledge, M. J. (2013) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2013.02.007 · Cited by 219 · see citing works
p53-family proteins and their regulators: hubs and spokes in tumor suppression
Collavin, L., Lunardi, A., & Sal, G. D. (2010) · Cell Death and Differentiation · doi:10.1038/cdd.2010.35 · Cited by 219 · see citing works
Enzyme dynamics point to stepwise conformational selection in catalysis
Ma, B., & Nussinov, R. (2010) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2010.08.012 · Cited by 219 · see citing works
Self-citationLarge local energy fluctuations in water. II. Cooperative motions and fluctuations
Ohmine, I., Tanaka, H., & Wolynes, P. G. (1988) · The Journal of Chemical Physics · doi:10.1063/1.455536 · Cited by 216 · see citing works
Mulder, F. A. A., & Filatov, M. J. (2009) · Chemical Society Reviews · doi:10.1039/b811366c · Cited by 216 · see citing works
Levy, Y., Cho, S. S., Onuchic, J. N., & Wolynes, P. G. (2004) · Journal of Molecular Biology · doi:10.1016/j.jmb.2004.12.021 · Cited by 213 · see citing works
The role of distant mutations and allosteric regulation on LovD active site dynamics
Jiménez‐Osés, G., Osuna, S., Gao, X., Sawaya, M. R., Gilson, L., Collier, S. J., Huisman, G. W., Yeates, T. O., Tang, Y., & Houk, K. N. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1503 · Cited by 211 · see citing works
Allosteric post-translational modification codes
Nussinov, R., Tsai, C.-J., Xin, F., & Radivojac, P. (2012) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2012.07.001 · Cited by 211 · see citing works
Self-citationLigand-Dependent Equilibrium Fluctuations of Single Calmodulin Molecules
Junker, J. P., Ziegler, F., & Rief, M. (2009) · Science · doi:10.1126/science.1166191 · Cited by 211 · see citing works
Multi-domain conformational selection underlies pre-mRNA splicing regulation by U2AF
Mackereth, C. D., Madl, T., Bonnal, S., Simon, B., Zanier, K., Gasch, A., Rybin, V., Valcárcel, J., & Sattler, M. (2011) · Nature · doi:10.1038/nature10171 · Cited by 210 · see citing works
Control of protein functional dynamics by peptide linkers
Wriggers, W. R., Chakravarty, S., & Jennings, P. A. (2005) · Biopolymers · doi:10.1002/bip.20291 · Cited by 203 · see citing works
Tripsianes, K., Madl, T., Machyna, M., Fessas, D., Englbrecht, C., Fischer, U., Neugebauer, K. M., & Sattler, M. (2011) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2185 · Cited by 203 · see citing works
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Nussinov, R., & Tsai, C.-J. (2015) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2014.11.005 · Cited by 202 · see citing works
Self-citationStructured disorder and conformational selection
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Self-citationMultidomain assembled states of Hck tyrosine kinase in solution
Yang, S., Blachowicz, L., Makowski, L., & Roux, B. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004569107 · Cited by 198 · see citing works
The molecular architecture of protein–protein binding sites
Reichmann, D., Rahat, O., Cohen, M., Neuvirth, H., & Schreiber, G. (2007) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2007.01.004 · Cited by 198 · see citing works
Role of linkers in communication between protein modules
Gokhale, R. S., & Khosla, C. (2000) · Current Opinion in Chemical Biology · doi:10.1016/s1367-5931(99)00046-0 · Cited by 196 · see citing works
Regulation and aggregation of intrinsically disordered peptides
Levine, Z. A., Larini, L., LaPointe, N. E., Feinstein, S. C., & Shea, J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418155112 · Cited by 195 · see citing works
Role of Water Mediated Interactions in Protein−Protein Recognition Landscapes
Papoian, G. A., Ulander, J., & Wolynes, P. G. (2003) · Journal of the American Chemical Society · doi:10.1021/ja034729u · Cited by 194 · see citing works
Schwalbe, M., Ozenne, V., Bibow, S., Jaremko, M., Jaremko, Ł., Gajda, M. J., Jensen, M. R., Biernat, J., Becker, S., Mandelkow�, E., et al. (2013) · Structure · doi:10.1016/j.str.2013.10.020 · Cited by 192 · see citing works
Temperature-dependent solvation modulates the dimensions of disordered proteins
Wuttke, R., Hofmann, H., Nettels, D., Borgia, M. B., Mittal, J., Best, R. B., & Schuler, B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1313006111 · Cited by 192 · see citing works
Arkin, M. R., & Whitty, A. (2009) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2009.05.125 · Cited by 190 · see citing works
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Kar, G., Keskin, Ö., Gürsoy, A., & Nussinov, R. (2010) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2010.09.002 · Cited by 190 · see citing works
Self-citationIntroduction to Intrinsically Disordered Proteins (IDPs)
Uversky, V. N. (2014) · Chemical Reviews · doi:10.1021/cr500288y · Cited by 184 · see citing works
Qiao, Q., Bowman, G. R., & Huang, X. (2013) · Journal of the American Chemical Society · doi:10.1021/ja403147m · Cited by 182 · see citing works
Weak Long-Range Correlated Motions in a Surface Patch of Ubiquitin Involved in Molecular Recognition
Fenwick, R. B., Esteban-Martín, S., Richter, B., Lee, D., Walter, K. F. A., Milovanović, D., Becker, S., Lakomek, N., Griesinger, C., & Salvatella, X. (2011) · Journal of the American Chemical Society · doi:10.1021/ja200461n · Cited by 178 · see citing works
Flagged first, then by citations
7 of the 585 references couldn’t be matched to a known paper.
Research works printed but not linked: 14
- 10.1063/1.455536 · DOI · Paper page
- Gekko K., 2015, High Pressure Bioscience, 72, 10.1007/978-94-017-9918-8_5 · DOI
- Dickson A., 2015, J. Comput. Chem.
- 10.1073/pnas.92.8.3626 · DOI · Paper page
- 10.1096/fj.14-257287 · DOI
- 10.1186/2046-1682-5-2 · DOI · Paper page
- 10.1021/jz501457f · DOI
- 10.1002/prot.1107 · DOI · Paper page
- 10.1111/j.1742-4658.2005.04948.x · DOI · Paper page
- 10.1038/nsmb.2555 · DOI · Paper page
- Menichetti G., 2014, Theor. Biol. Forum., 107, 77
- Laskowski R. A., 1996, Protein Sci., 5, 2438
- 10.1002/prot.1107 · DOI · Paper page
- 10.1016/s0968-0004(03)00003-3 · DOI
Cited by
Sorted by citations
Lipinski, C. A. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2016.04.029 · Cited by 626 · see citing works
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Ganser, L. R., Kelly, M. L., Herschlag, D., & Al‐Hashimi, H. M. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-019-0136-0 · Cited by 561 · see citing works
Sun, Z., Liu, Q., Qu, G., Feng, Y. F., & Reetz, M. T. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00290 · Cited by 526 · see citing works
Babu, M. M. (2016) · Biochemical Society Transactions · doi:10.1042/bst20160172 · Cited by 408 · see citing works
Nonspecific Binding—Fundamental Concepts and Consequences for Biosensing Applications
Frutiger, A., Tanno, A., Hwu, S., Tiefenauer, R. F., Vörös, J., & Nakatsuka, N. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00044 · Cited by 282 · see citing works
Conformational dynamics and enzyme evolution
Petrović, D., Risso, V. A., Kamerlin, S. C. L., & Sánchez‐Ruiz, J. M. (2018) · Journal of The Royal Society Interface · doi:10.1098/rsif.2018.0330 · Cited by 205 · see citing works
Impact of protein conformational diversity on AlphaFold predictions
Saldaño, T., Escobedo, N., Marchetti, J., Zea, D. J., Mac Donagh, J., Velez Rueda, A. J., Gonik, E., García Melani, A., Novomisky Nechcoff, J., Salas, M. N., et al. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac202 · Cited by 196 · see citing works
The Role of Conformational Dynamics and Allostery in Modulating Protein Evolution
Campitelli, P., Modi, T., Kumar, S., & Ozkan, S. B. (2020) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-052118-115517 · Cited by 190 · see citing works
Allosteric Modulator Discovery: From Serendipity to Structure-Based Design
Lu, S., He, X., Ni, D., & Zhang, J. (2019) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b01749 · Cited by 176 · see citing works
Computational Design of Stable and Soluble Biocatalysts
Musil, M., Konegger, H., Hon, J., Bednář, D., & Damborský, J. (2018) · ACS Catalysis · doi:10.1021/acscatal.8b03613 · Cited by 155 · see citing works
Pick, H. M., Alves, A. C., & Vogel, H. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00777 · Cited by 161 · see citing works
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Zhang, M., Zheng, J., Nussinov, R., & Ma, B. (2017) · Scientific Reports · doi:10.1038/s41598-017-02825-7 · Cited by 152 · see citing works
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Agarwal, V., & McShan, A. C. (2024) · Nature Chemical Biology · doi:10.1038/s41589-024-01638-w · Cited by 155 · see citing works
“Native conformations of proteins are often described as time-averaged ensembles of conformations with Boltzmann-type distributions, especially IDPs and proteins with IDRs 100,101 .”
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Mazal, H., & Haran, G. (2019) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2019.08.007 · Cited by 130 · see citing works
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Nussinov, R., Jang, H., Tsai, C., & Cheng, F. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006658 · Cited by 129 · see citing works
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Ferraro, M., D’Annessa, I., Moroni, E., Morra, G., Paladino, A., Rinaldi, S., Compostella, F., & Colombo, G. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b00825 · Cited by 90 · see citing works
Rational design of allosteric modulators: Challenges and successes
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Recent advances in atomic molecular dynamics simulation of intrinsically disordered proteins
Wang, W. (2020) · Physical Chemistry Chemical Physics · doi:10.1039/d0cp05818a · Cited by 83 · see citing works
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Modi, T., Risso, V. A., Martínez‐Rodríguez, S., Gavira, J. A., Mebrat, M. D., Horn, W. D. V., Sánchez‐Ruiz, J. M., & Ozkan, S. B. (2021) · Nature Communications · doi:10.1038/s41467-021-22089-0 · Cited by 68 · see citing works
Mazal, H., Iljina, M., Barak, Y., Elad, N., Rosenzweig, R., Goloubinoff, P., Riven, I., & Haran, G. (2019) · Nature Communications · doi:10.1038/s41467-019-09474-6 · Cited by 63 · see citing works
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Zhou, L., Xu, X., Jiang, Z., et al. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.202011661 · Cited by 72 · see citing works
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Self-citationWang, Y., Geng, Q., Zhang, Y., Adler‐Abramovich, L., Fan, X., Mei, D., Gazit, E., & Tao, K. (2023) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2022.12.166 · Cited by 69 · see citing works
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Shamsi, Z., Moffett, A. S., & Shukla, D. (2017) · Scientific Reports · doi:10.1038/s41598-017-12874-7 · Cited by 60 · see citing works
Li, Y., Xu, L., Kang, S., et al. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202014813 · Cited by 66 · see citing works
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Tompa, P. (2016) · Chemical Society Reviews · doi:10.1039/c6cs00011h · Cited by 63 · see citing works
Wang, C., Xu, L., Zhou, L., Liu, N., & Wu, Z. (2022) · Angewandte Chemie International Edition · doi:10.1002/anie.202207028 · Cited by 67 · see citing works
Chan-Yao-Chong, M., Christiane, D. D., & Ha‐Duong, T. (2019) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.8b00928 · Cited by 61 · see citing works
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Ciemny, M. P., Badaczewska-Dawid, A. E., Pikuzinska, M., Koliński, A., & Kmiecik, S. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20030606 · Cited by 50 · see citing works
Ruan, H., Chen, Y., Niu, X., Zhang, W., Liu, H., Chen, L., Xiong, R., Sun, Q., Jin, C., Liu, Y., et al. (2020) · Chemical Science · doi:10.1039/d0sc04670a · Cited by 55 · see citing works
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Self-citationEnzyme dynamics: Looking beyond a single structure
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Baksh, K. A., & Zamble, D. B. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.rev119.011444 · Cited by 54 · see citing works
Löhr, T., Jussupow, A., & Camilloni, C. (2017) · The Journal of Chemical Physics · doi:10.1063/1.4981211 · Cited by 58 · see citing works
Liu, W., Xu, X.-H., Kang, S., Song, X. J., Zhou, L., Liu, N., & Wu, Z. (2021) · Macromolecules · doi:10.1021/acs.macromol.1c00016 · Cited by 59 · see citing works
Shi, G., Dang, Y., Pan, T., Liu, X., Liu, H., Li, S., Zhang, L., Zhao, H., Li, S., Han, J., et al. (2016) · Physical Review Letters · doi:10.1103/physrevlett.117.238102 · Cited by 54 · see citing works
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Zheng, M., Zhao, J., Cui, C., Fu, Z., Li, X., Liu, X., Ding, X., Tan, X., Li, F., Luo, X., et al. (2018) · Medicinal Research Reviews · doi:10.1002/med.21483 · Cited by 53 · see citing works
Nussinov, R., Zhang, M., Tsai, C., Liao, T.-J., Fushman, D., & Jang, H. (2018) · Biophysical Reviews · doi:10.1007/s12551-018-0461-0 · Cited by 46 · see citing works
Self-citationPaissoni, C., Jussupow, A., & Camilloni, C. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b01181 · Cited by 44 · see citing works
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Greener, J. G., Filippis, I., & Sternberg, M. J. E. (2017) · Structure · doi:10.1016/j.str.2017.01.008 · Cited by 44 · see citing works
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Narayanan, C., Bafna, K., Roux, L. D., Agarwal, P. K., & Doucet, N. (2017) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2017.05.002 · Cited by 38 · see citing works
Castelli, M., Marchetti, F., Osuna, S., Oliveira, A. S. F., Mulholland, A. J., Serapian, S. A., & Colombo, G. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.3c11396 · Cited by 38 · see citing works
Dong, X., Qiao, Q., Qian, Z., & Wei, G. (2018) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2018.03.006 · Cited by 39 · see citing works
Self-citationGao, S., & Klinman, J. P. (2022) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2022.102434 · Cited by 38 · see citing works
Min, Y., Ye, W., Wang, P., Wang, X., Li, H., Wu, N., Bauer, S., Zheng, S., Shi, Y., Wang, Y., et al. (2024) · Advanced Science · doi:10.1002/advs.202405404 · Cited by 40 · see citing works
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Diggins, P. M., Liu, C., Deserno, M., & Potestio, R. (2018) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b00654 · Cited by 35 · see citing works
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Castelli, M., Yan, P., Rodina, A., Digwal, C. S., Panchal, P., Chiosis, G., Moroni, E., & Colombo, G. (2023) · Structure · doi:10.1016/j.str.2023.05.017 · Cited by 34 · see citing works
Ion-Concentration-Hopping Heterolayer Gel for Ultrahigh Gradient Energy Conversion
Chen, W., Zhou, K. C., Wu, Z., Yang, L., Xie, Y., Meng, X. Z., Zhao, Z., & Wen, L. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.4c01036 · Cited by 37 · see citing works
Resolving distance variations by single-molecule FRET and EPR spectroscopy using rotamer libraries
Klose, D., Holla, A., Gmeiner, C., et al. (2021) · Biophysical Journal · doi:10.1016/j.bpj.2021.09.021 · Cited by 33 · see citing works
Das, R., Bhattarai, A., Karn, R., & Tamang, B. (2024) · Scientific Reports · doi:10.1038/s41598-024-70433-3 · Cited by 37 · see citing works
Liu, L., Wei, Y., Chang, Q., Sun, H.-J., Chai, K., Huang, Z.-Q., Zhao, Z.-X., & Zhao, Z.-X. (2017) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.7b04442 · Cited by 32 · see citing works
Autoinhibition can identify rare driver mutations and advise pharmacology
Nussinov, R., Tsai, C., & Jang, H. (2019) · The FASEB Journal · doi:10.1096/fj.201901341r · Cited by 35 · see citing works
Self-citationEGCG attenuates α-synuclein protofibril-membrane interactions and disrupts the protofibril
Yang, Z., Yao, Y., Zhou, Y., et al. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.123194 · Cited by 36 · see citing works
Self-citationProtein design: from computer models to artificial intelligence
Paladino, A., Marchetti, F., Rinaldi, S., & Colombo, G. (2017) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.1318 · Cited by 34 · see citing works
Dong, X., Sun, Y., Wei, G., Nussinov, R., & Ma, B. (2017) · Physical Chemistry Chemical Physics · doi:10.1039/c7cp05959k · Cited by 34 · see citing works
Self-citationTRAF3 signaling: Competitive binding and evolvability of adaptive viral molecular mimicry
Guven‐Maiorov, E., Keskin, Ö., Gürsoy, A., Waes, C. V., Chen, Z., Tsai, C., & Nussinov, R. (2016) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/j.bbagen.2016.05.021 · Cited by 34 · see citing works
Self-citationNative State Volume Fluctuations in Proteins as a Mechanism for Dynamic Allostery
Law, A. B., Sapienza, P. J., Zhang, J., et al. (2017) · Journal of the American Chemical Society · doi:10.1021/jacs.6b12058 · Cited by 34 · see citing works
Energy penalties enhance flexible receptor docking in a model cavity
Kamenik, A. S., Singh, I., Lak, P., Balius, T. E., Liedl, K. R., & Shoichet, B. K. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2106195118 · Cited by 32 · see citing works
Phua, S.-X., Chan, K.-F., Su, C. T.-T., Poh, J.-J., & Gan, S. K. (2019) · Bioscience Reports · doi:10.1042/bsr20181958 · Cited by 27 · see citing works
The Osmolyte TMAO Modulates Protein Folding Cooperativity by Altering Global Protein Stability
Jethva, P. N., & Udgaonkar, J. B. (2018) · Biochemistry · doi:10.1021/acs.biochem.8b00698 · Cited by 32 · see citing works
Oxatub[5,6]arene: synthesis, conformational analysis, and the recognition of C60 and C70
Jia, F., Li, D., Yang, T., et al. (2016) · Chemical Communications · doi:10.1039/c6cc09038a · Cited by 31 · see citing works
Nagao, M., Kichize, M., Hoshino, Y., & Miura, Y. (2021) · Biomacromolecules · doi:10.1021/acs.biomac.1c00553 · Cited by 31 · see citing works
Morris, D. T. J., Wales, S. M., Tilly, D., et al. (2021) · Chem · doi:10.1016/j.chempr.2021.06.022 · Cited by 31 · see citing works
Ensemble epistasis: thermodynamic origins of nonadditivity between mutations
Morrison, A. J., Wonderlick, D. R., & Harms, M. (2020) · bioRxiv · doi:10.1093/genetics/iyab105 · Cited by 28 · see citing works
High throughput and quantitative enzymology in the genomic era
Mokhtari, D., Appel, M., Fordyce, P. M., & Herschlag, D. (2021) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2021.07.010 · Cited by 25 · see citing works
- Authors
- Wei, G., Xi, W., Nussinov, R., & Ma, B.
- Affiliations
- Fudan University (CN)
- Tel Aviv University (IL)
- National Cancer Institute (US)
- Corresponding author
- Wei, Guanghong
- Ma, Buyong
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-01-25
- Volume
- 116
- Issue
- 11
- Pages
- 6516-6551
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- PMC
- PMC6407618
- OpenAlex
- W2265800909
- Semantic Scholar
- deccc9316ec26c52d5390bfa2f621c6e68cebe6c
- Cited by
- 436
- References
- 585
- Citations by year
- 2026: 57 · 2025: 48 · 2024: 34 · 2023: 42 · 2022: 43 · 2021: 42 · 2020: 36 · 2019: 45 · 2018: 33 · 2017: 35 · 2016: 20
- FWCI
- 4.00
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Chemical Reviews (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Cancer Institute (HHSN261200800001E)
- National Natural Science Foundation of China (11274075, 91227102)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
- Keywords
- protein conformational ensembles, free energy landscape, thermal fluctuations, protein flexibility, intrinsically disordered proteins, multidomain proteins, protein complexes, intracellular crowding, protein-ligand recognition, enzyme catalysis, protein dynamics, replica exchange molecular dynamics, metadynamics, Markov state models
- MeSH terms
- Humans, Markov Chains, Protein Conformation, Proteins, Thermodynamics, Nuclear Magnetic Resonance, Biomolecular, Molecular Dynamics Simulation, Protein Interaction Maps, Intrinsically Disordered Proteins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-07.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-07.
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