The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Solvation Effects and Driving Forces for Protein Thermodynamic and Kinetic Cooperativity: How Adequate is Native-centric Topological Modeling?
Open accessAbstract
What energetic and solvation effects underlie the remarkable two-state thermodynamics and folding/unfolding kinetics of small single-domain proteins? To address this question, we investigate the folding and unfolding of a hierarchy of continuum Langevin dynamics models of chymotrypsin inhibitor 2. We find that residue-based additive Gō-like contact energies, although native-centric, are by themselves insufficient for protein-like calorimetric two-state cooperativity. Further native biases by local conformational preferences are necessary for protein-like thermodynamics. Kinetically, however, even models with both contact and local native-centric energies do not produce simple two-state chevron plots. Thus a model protein's thermodynamic cooperativity is not sufficient for simple two-state kinetics. The models tested appear to have increasing internal friction with increasing native stability, leading to chevron rollovers that typify kinetics that are commonly referred to as non-two-state. The free energy profiles of these models are found to be sensitive to the choice of native contacts and the presumed spatial ranges of the contact interactions. Motivated by explicit-water considerations, we explore recent treatments of solvent granularity that incorporate desolvation free energy barriers into effective implicit-solvent intraprotein interactions. This additional feature reduces both folding and unfolding rates vis-à-vis that of the corresponding models without desolvation barriers, but the kinetics remain non-two-state. Taken together, our observations suggest that interaction mechanisms more intricate than simple Gō-like constructs and pairwise additive solvation-like contributions are needed to rationalize some of the most basic generic protein properties. Therefore, as experimental constraints on protein chain models, requiring a consistent account of protein-like thermodynamic and kinetic cooperativity can be more stringent and productive for some applications than simply requiring a model heteropolymer to fold to a target structure.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
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 · cited 1×
“Thus, a longstanding(11) – 13 complementary approach is to adopt simplified lattice(14) – 19 or continuum(19) – 21 representations of polypeptide geometries and interactions, trading high structural resolution for the extensive conformational sampling that is often necessary for conceptual advances.(15) – 21 Considera…”
BackgroundProtein Folding Theory: From Lattice to All-Atom Models
Mirny, L., & Shakhnovich, E. (2001) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.30.1.361 · Cited by 341
Cited by
Onuchic, J. N., & Wolynes, P. G. (2004) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2004.01.009 · Cited by 1,301
WATER MEDIATION IN PROTEIN FOLDING AND MOLECULAR RECOGNITION
Levy, Y., & Onuchic, J. N. (2006) · Annual Review of Biophysics and Biomolecular Structure · doi:10.1146/annurev.biophys.35.040405.102134 · Cited by 1,048
Perspective: Coarse-grained models for biomolecular systems
Noid, W. G. (2013) · The Journal of Chemical Physics · doi:10.1063/1.4818908 · Cited by 893
Trp-cage: Folding free energy landscape in explicit water
Zhou, R. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2233312100 · Cited by 363
Free energy landscape of protein folding in water: Explicit vs. implicit solvent
Zhou, R. (2003) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.10483 · Cited by 300
Metadata
- Authors
- Kaya, H., & Chan, H. S.
- Venue
- Journal of Molecular Biology
- Publisher
- Elsevier BV
- Published
- 2003-02
- Volume
- 326
- Issue
- 3
- Pages
- 911-931
- ISSN
- 0022-2836 (ISSN-L)
- OpenAlex
- W2141570358
- Cited by
- 172
- References
- 3
- FWCI
- 6.43
- Type
- journal article
- Language
- en
- Open access
- green
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Solvation Effects and Driving Forces for Protein Thermodynamic and Kinetic Cooperativity: How Adequate is Native-centric Topological Modeling? https://app.cochat.ai/papers/10.1016/s0022-2836(02)01434-1
- The paper
- Kaya, H., & Chan, H. S. (2003). Solvation Effects and Driving Forces for Protein Thermodynamic and Kinetic Cooperativity: How Adequate is Native-centric Topological Modeling? Journal of Molecular Biology. https://doi.org/10.1016/s0022-2836(02)01434-1
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.