Global Dynamics of Proteins: Bridging Between Structure and Function
Top Cited Papers
- 1 April 2010
- journal article
- review article
- Published by Annual Reviews in Annual Review of Biophysics
- Vol. 39 (1), 23-42
- https://doi.org/10.1146/annurev.biophys.093008.131258
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 allo...Keywords
This publication has 81 references indexed in Scilit:
- Normal Mode Analysis of Biomolecular Structures: Functional Mechanisms of Membrane ProteinsChemical Reviews, 2009
- Focused Functional Dynamics of Supramolecules by Use of a Mixed-Resolution Elastic Network ModelBiophysical Journal, 2009
- CHARMM: The biomolecular simulation programJournal of Computational Chemistry, 2009
- Application of Elastic Network Models to Proteins in the Crystalline StateBiophysical Journal, 2009
- Close Correspondence between the Motions from Principal Component Analysis of Multiple HIV-1 Protease Structures and Elastic Network ModesStructure, 2008
- Intrinsic dynamics of enzymes in the unbound state and relation to allosteric regulationCurrent Opinion in Structural Biology, 2007
- vGNM: A Better Model for Understanding the Dynamics of Proteins in CrystalsJournal of Molecular Biology, 2007
- Insights into Equilibrium Dynamics of Proteins from Comparison of NMR and X-Ray Data with Computational PredictionsStructure, 2007
- Protein Structural Variation in Computational Models and Crystallographic DataStructure, 2007
- Dynamics of large proteins through hierarchical levels of coarse‐grained structuresJournal of Computational Chemistry, 2001