Literature DB >> 11302709

The folding thermodynamics and kinetics of crambin using an all-atom Monte Carlo simulation.

J Shimada1, E L Kussell, E I Shakhnovich.   

Abstract

We present a novel Monte Carlo simulation of protein folding, in which all heavy atoms are represented as interacting hard spheres. This model includes all degrees of freedom relevant to folding, all side-chain and backbone torsions, and uses a Go potential. In this study, we focus on the 46 residue alpha/beta protein crambin and two of its structural components, the helix and helix hairpin. For a wide range of temperatures, we recorded multiple folding events of these three structures from random coils to native conformations that differ by less than 1 A C(alpha) dRMS from their crystal structure coordinates. The thermodynamics and kinetic mechanism of the helix-coil transition obtained from our simulation shows excellent agreement with currently available experimental and molecular dynamics data. Based on insights obtained from folding its smaller structural components, a possible folding mechanism for crambin is proposed. We observed that the folding occurs via a cooperative, first order-like process, and that many folding pathways to the native state exist. One particular sequence of events constitutes a "fast-folding" pathway where kinetic traps are avoided. At very low temperatures, a kinetic trap arising from the incorrect packing of side-chains was observed. These results demonstrate that folding to the native state can be observed in a reasonable amount of time on desktop computers even when an all-atom representation is used, provided the energetics sufficiently stabilize the native state. Copyright 2001 Academic Press.

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Substances:

Year:  2001        PMID: 11302709     DOI: 10.1006/jmbi.2001.4586

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  41 in total

1.  Helix formation via conformation diffusion search.

Authors:  Cheng-Yen Huang; Zelleka Getahun; Yongjin Zhu; Jason W Klemke; William F DeGrado; Feng Gai
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-26       Impact factor: 11.205

2.  Constructing, verifying, and dissecting the folding transition state of chymotrypsin inhibitor 2 with all-atom simulations.

Authors:  L Li; E I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-23       Impact factor: 11.205

3.  A structure-based method for derivation of all-atom potentials for protein folding.

Authors:  Edo Kussell; Jun Shimada; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-09       Impact factor: 11.205

4.  The ensemble folding kinetics of protein G from an all-atom Monte Carlo simulation.

Authors:  Jun Shimada; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-06       Impact factor: 11.205

5.  Topological determinants of protein folding.

Authors:  Nikolay V Dokholyan; Lewyn Li; Feng Ding; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-06-25       Impact factor: 11.205

6.  Analysis of the distributed computing approach applied to the folding of a small beta peptide.

Authors:  Emanuele Paci; Andrea Cavalli; Michele Vendruscolo; Amedeo Caflisch
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-18       Impact factor: 11.205

7.  Protein folding pathways and kinetics: molecular dynamics simulations of beta-strand motifs.

Authors:  Hyunbum Jang; Carol K Hall; Yaoqi Zhou
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

8.  Validity of Gō models: comparison with a solvent-shielded empirical energy decomposition.

Authors:  Emanuele Paci; Michele Vendruscolo; Martin Karplus
Journal:  Biophys J       Date:  2002-12       Impact factor: 4.033

9.  Simulation, experiment, and evolution: understanding nucleation in protein S6 folding.

Authors:  Isaac A Hubner; Mikael Oliveberg; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-18       Impact factor: 11.205

10.  LMProt: an efficient algorithm for Monte Carlo sampling of protein conformational space.

Authors:  Roosevelt Alves da Silva; Léo Degrève; Antonio Caliri
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

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