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Collective motions in proteins: A covariance analysis of atomic fluctuations in molecular dynamics and normal mode simulations

Proteins Structure Function and Bioinformatics · 1991 · Vol. 11(3) · pp. 205–217
Toshiko IchiyeMartin Karplus

Abstract

A method is described for identifying collective motions in proteins from molecular dynamics trajectories or normal mode simulations. The method makes use of the covariances of atomic positional fluctuations. It is illustrated by an analysis of the bovine pancreatic trypsin inhibitor. Comparison of the covariance and cross-correlation matrices shows that the relative motions have many similar features in the different simulations. Many regions of the protein, especially regions of secondary structure, move in a correlated manner. Anharmonic effects, which are included in the molecular dynamics simulations but not in the normal analysis, are of some importance in determining the larger scale collective motions, but not the more local fluctuations. Comparisons of molecular dynamics simulations in the present and absence of solvent indicate that the environment is of significance for the long-range motions.

Protein Structure and DynamicsSpectroscopy and Quantum Chemical StudiesHemoglobin structure and functionMolecular dynamicsAnharmonicityCovarianceNormal modeStatistical physicsPhysicsMode (computer interface)Dynamics (music)Protein dynamicsRange (aeronautics)

MeSH terms

AlgorithmsAnalysis of VarianceAnimalsCattleModels, ChemicalModels, MolecularMotionProtein ConformationTrypsin Inhibitors

Funding

  • National Science Foundation
  • Foundation for the National Institutes of Health
Citations
1,022
FWCI
1.70
field-weighted impact
References
21
Percentile
85%
vs. same field & year
Citations per year
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References
Algorithms for macromolecular dynamics and constraint dynamics
Molecular Physics · 1977 · 1,734 citations
Computer Simulation of Liquids
Journal of Molecular Liquids · 1988 · 15,842 citations
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