Cited by 38Protein Structure and DynamicsAdvanced Physical and Chemical Molecular InteractionsRNA and protein synthesis mechanisms

Extensive conformational heterogeneity within protein cores

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Bowman, Gregory R., Geissler, Phillip L.·2014·The Journal of Physical Chemistry B

Abstract

Basic principles of statistical mechanics require that proteins sample an ensemble of conformations at any nonzero temperature. However, it is still common to treat the crystallographic structure of a protein as the structure of its native state, largely because high-resolution structural characterization of protein flexibility remains a profound challenge. To assess the typical degree of conformational heterogeneity within folded proteins, we construct Markov state models describing the thermodynamics and kinetics of proteins ranging from 72 to 263 residues in length. Each of these models is built from hundreds of microseconds of atomically detailed molecular dynamics simulations. Examination of the side-chain degrees of freedom reveals that almost every residue visits at least two rotameric states over this time frame, with rotamer transition rates spanning a wide range of time scales (from nanoseconds to tens of microseconds). We also report substantial backbone dynamics on time scales longer than are typically addressed by experimental measures of protein flexibility, such as NMR order parameters. Finally, we demonstrate that these extensive rearrangements are consistent with NMR and crystallographic data, which supports the validity of our models. Altogether, these results depict the interior of proteins not as well-ordered solids, as is often imagined, but instead as dense fluids, which undergo substantial structural fluctuations despite their high packing fraction.

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  • Sidechains of residues within the cores of folded proteins appear to show some degree of liquid-like behavior.

    “In fact, sidechains of residues within the cores of folded proteins appear to show some degree of liquid-like behavior [53].”

    From Markov state models of biomolecular conformational dynamics (2014) · cites this paper as [53]

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Authors
Bowman, G. R., & Geissler, P. L.
Affiliations
  • University of California System (US)
  • Lawrence Berkeley National Laboratory (US)
Corresponding author
Bowman, Gregory R.
Venue
The Journal of Physical Chemistry B
Published
2014-02-24
Volume
118
Issue
24
Pages
6417-6423
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W2027676182
Cited by
38
References
46
Citations by year
2026: 1 · 2025: 4 · 2024: 1 · 2023: 2 · 2022: 3 · 2021: 4 · 2020: 1 · 2019: 3 · 2018: 4 · 2017: 4 · 2016: 6 · 2015: 4 · 2014: 1
FWCI
2.05
Type
journal article
Language
en
Open access
Locations
  • The Journal of Physical Chemistry B (publishedVersion, other-oa)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • National Science Foundation (CHE-1048789)
  • National Institutes of Health (R01-GM062868)
  • Burroughs Wellcome Fund (NA)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Advanced Physical and Chemical Molecular Interactions
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
Keywords
protein conformational heterogeneity, protein core, protein flexibility, Markov state models, backbone dynamics, protein folding kinetics, protein thermodynamics, structural fluctuations
MeSH terms
beta-Lactamases, Kinetics, Markov Chains, Magnetic Resonance Spectroscopy, Proteins, Thermodynamics, Ribonuclease H, Ubiquitin, Molecular Dynamics Simulation

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