Literature DB >> 1749773

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

T Ichiye1, M 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.

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Year:  1991        PMID: 1749773     DOI: 10.1002/prot.340110305

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  253 in total

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Journal:  Biophys J       Date:  1999-04       Impact factor: 4.033

2.  Protein motions at zero-total angular momentum: the importance of long-range correlations.

Authors:  Y Zhou; M Cook; M Karplus
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

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Authors:  C A Sotriffer; B M Rode; J M Varga; K R Liedl
Journal:  Biophys J       Date:  2000-08       Impact factor: 4.033

4.  Enzyme specificity under dynamic control II: Principal component analysis of alpha-lytic protease using global and local solvent boundary conditions.

Authors:  N Ota; D A Agard
Journal:  Protein Sci       Date:  2001-07       Impact factor: 6.725

5.  Ten-nanosecond molecular dynamics simulation of the motions of the horse liver alcohol dehydrogenase.PhCH2O- complex.

Authors:  Jia Luo; Thomas C Bruice
Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-12       Impact factor: 11.205

6.  Coupled motions between pore and voltage-sensor domains: a model for Shaker B, a voltage-gated potassium channel.

Authors:  Werner Treptow; Bernard Maigret; Christophe Chipot; Mounir Tarek
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

7.  Simulations of the p97 complex suggest novel conformational states of hydrolysis intermediates.

Authors:  Jeff Wereszczynski; J Andrew McCammon
Journal:  Protein Sci       Date:  2012-03-02       Impact factor: 6.725

8.  The role of domain: domain interactions versus domain: water interactions in the coarse-grained simulations of the E1P to E2P transitions in Ca-ATPase (SERCA).

Authors:  Anu Nagarajan; Jens Peter Andersen; Thomas B Woolf
Journal:  Proteins       Date:  2012-05-25

9.  Three force fields' views of the 3(10) helix.

Authors:  Kalliopi K Patapati; Nicholas M Glykos
Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

10.  iMODS: internal coordinates normal mode analysis server.

Authors:  José Ramón López-Blanco; José I Aliaga; Enrique S Quintana-Ortí; Pablo Chacón
Journal:  Nucleic Acids Res       Date:  2014-04-25       Impact factor: 16.971

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