Literature DB >> 16375567

Efficient Monte Carlo trial moves for polypeptide simulations.

Marcos R Betancourt1.   

Abstract

A new move set for the Monte Carlo simulations of polypeptide chains is introduced. It consists of a rigid rotation along the (C(alpha)) ends of an arbitrary long segment of the backbone in such a way that the atoms outside this segment remain fixed. This fixed end move, or FEM, alters only the backbone dihedral angles phi and psi and the C(alpha) bond angles of the segment ends. Rotations are restricted to those who keep the alpha bond angles within their maximum natural range of approximately +/-10 degrees. The equations for the angular intervals (tau) of the allowed rigid rotations and the equations required for satisfying the detailed balance condition are presented in detail. One appealing property of the FEM is that the required number of calculations is minimal, as it is evident from the simplicity of the equations. In addition, the moving backbone atoms undergo considerable but limited displacements of up to 3 A. These properties, combined with the small number of backbone angles changed, lead to high acceptance rates for the new conformations and make the algorithm very efficient for sampling the conformational space. The FEMs, combined with pivot moves, are used in a test to fold a group of coarse-grained proteins with lengths of up to 200 residues.

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Year:  2005        PMID: 16375567     DOI: 10.1063/1.2102896

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  12 in total

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Authors:  Colin A Smith; Tanja Kortemme
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3.  Protein model refinement using an optimized physics-based all-atom force field.

Authors:  Anna Jagielska; Liliana Wroblewska; Jeffrey Skolnick
Journal:  Proc Natl Acad Sci U S A       Date:  2008-06-11       Impact factor: 11.205

4.  Implementing efficient concerted rotations using Mathematica and C code.

Authors:  Luca Tubiana; Miroslav Jurásek; Ivan Coluzza
Journal:  Eur Phys J E Soft Matter       Date:  2018-07-20       Impact factor: 1.890

5.  Protein homology model refinement by large-scale energy optimization.

Authors:  Hahnbeom Park; Sergey Ovchinnikov; David E Kim; Frank DiMaio; David Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2018-03-05       Impact factor: 11.205

Review 6.  Equilibrium sampling in biomolecular simulations.

Authors:  Daniel M Zuckerman
Journal:  Annu Rev Biophys       Date:  2011       Impact factor: 12.981

7.  Predicting continuous local structure and the effect of its substitution for secondary structure in fragment-free protein structure prediction.

Authors:  Eshel Faraggi; Yuedong Yang; Shesheng Zhang; Yaoqi Zhou
Journal:  Structure       Date:  2009-11-11       Impact factor: 5.006

8.  A correspondence between solution-state dynamics of an individual protein and the sequence and conformational diversity of its family.

Authors:  Gregory D Friedland; Nils-Alexander Lakomek; Christian Griesinger; Jens Meiler; Tanja Kortemme
Journal:  PLoS Comput Biol       Date:  2009-05-29       Impact factor: 4.475

9.  CRANKITE: A fast polypeptide backbone conformation sampler.

Authors:  Alexei A Podtelezhnikov; David L Wild
Journal:  Source Code Biol Med       Date:  2008-06-24

Review 10.  Atomistic Monte Carlo simulation of lipid membranes.

Authors:  Daniel Wüstner; Heinz Sklenar
Journal:  Int J Mol Sci       Date:  2014-01-24       Impact factor: 5.923

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