Cited by 610Protein Structure and DynamicsEnzyme Structure and FunctionReceptor Mechanisms and Signaling

Global dynamics of proteins: bridging between structure and function

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Bahar, Ivet, Lezon, Timothy R., Yang, Lee-Wei, Eyal, Eran·2010·Annual Review of Biophysics

Abstract

Biomolecular systems possess unique, structure-encoded dynamic properties that underlie their biological functions. Recent studies indicate that these dynamic properties are determined to a large extent by the topology of native contacts. In recent years, elastic network models used in conjunction with normal mode analyses have proven to be useful for elucidating the collective dynamics intrinsically accessible under native state conditions, including in particular the global modes of motions that are robustly defined by the overall architecture. With increasing availability of structural data for well-studied proteins in different forms (liganded, complexed, or free), there is increasing evidence in support of the correspondence between functional changes in structures observed in experiments and the global motions predicted by these coarse-grained analyses. These observed correlations suggest that computational methods may be advantageously employed for assessing functional changes in structure and allosteric mechanisms intrinsically favored by the native fold.

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Crossref · 10.1146/annurev.biophys.093008.131258

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  • The conformational changes of proteins elicited by ligand binding closely overlap with one or more of the soft modes accessible in the unbound form.

    “Applying ENMs to several systems showed that the conformational changes of proteins elicited by ligand binding closely overlap with one or more of the soft modes accessible in the unbound form (Bahar et al., 2010; Tobi and Bahar, 2005)”

    From Allostery in Its Many Disguises: From Theory to Applications (2019) · cites this paper as Bahar et al., 2010

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Authors
Bahar, I., Lezon, T. R., Yang, L.-W., & Eyal, E.
Affiliations
  • Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15213; email:
  • University of Pittsburgh (US)
Venue
Annual Review of Biophysics
Published
2010-04
Volume
39
Issue
1
Pages
23-42
ISSN
  • 1936-122X (ISSN-L)
  • 1936-1238
OpenAlex
W2142595184
Cited by
610
References
83
Citations by year
2026: 32 · 2025: 30 · 2024: 17 · 2023: 28 · 2022: 28 · 2021: 38 · 2020: 41 · 2019: 30 · 2018: 36 · 2017: 49 · 2016: 45 · 2015: 52 · 2014: 46 · 2013: 43 · 2012: 43
FWCI
3.87
Type
journal article
Language
en
Open access
Locations
  • Annual Review of Biophysics (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute of General Medical Sciences (R01GM086238)
  • U.S. National Library of Medicine (R01LM007994)
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 dynamics, elastic network model, normal mode analysis, allosteric mechanism, structure-function relationship, ligand binding, protein complexes, coarse-grained models
MeSH terms
Models, Biological, Protein Conformation, Proteins, Structure-Activity Relationship, Protein Folding

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