Literature DB >> 12579582

Atomistic protein folding simulations on the submillisecond time scale using worldwide distributed computing.

Vijay S Pande1, Ian Baker, Jarrod Chapman, Sidney P Elmer, Siraj Khaliq, Stefan M Larson, Young Min Rhee, Michael R Shirts, Christopher D Snow, Eric J Sorin, Bojan Zagrovic.   

Abstract

Atomistic simulations of protein folding have the potential to be a great complement to experimental studies, but have been severely limited by the time scales accessible with current computer hardware and algorithms. By employing a worldwide distributed computing network of tens of thousands of PCs and algorithms designed to efficiently utilize this new many-processor, highly heterogeneous, loosely coupled distributed computing paradigm, we have been able to simulate hundreds of microseconds of atomistic molecular dynamics. This has allowed us to directly simulate the folding mechanism and to accurately predict the folding rate of several fast-folding proteins and polymers, including a nonbiological helix, polypeptide alpha-helices, a beta-hairpin, and a three-helix bundle protein from the villin headpiece. Our results demonstrate that one can reach the time scales needed to simulate fast folding using distributed computing, and that potential sets used to describe interatomic interactions are sufficiently accurate to reach the folded state with experimentally validated rates, at least for small proteins. Copyright 2002 Wiley Periodicals, Inc. Biopolymers 68: 91-109, 2003

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Year:  2003        PMID: 12579582     DOI: 10.1002/bip.10219

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  76 in total

1.  Meeting halfway on the bridge between protein folding theory and experiment.

Authors:  Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-25       Impact factor: 11.205

2.  Insights into nucleic acid conformational dynamics from massively parallel stochastic simulations.

Authors:  Eric J Sorin; Young Min Rhee; Bradley J Nakatani; Vijay S Pande
Journal:  Biophys J       Date:  2003-08       Impact factor: 4.033

3.  Atomically detailed simulations of helix formation with the stochastic difference equation.

Authors:  Alfredo E Cárdenas; Ron Elber
Journal:  Biophys J       Date:  2003-11       Impact factor: 4.033

4.  Simulations of the role of water in the protein-folding mechanism.

Authors:  Young Min Rhee; Eric J Sorin; Guha Jayachandran; Erik Lindahl; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-16       Impact factor: 11.205

5.  How does averaging affect protein structure comparison on the ensemble level?

Authors:  Bojan Zagrovic; Vijay S Pande
Journal:  Biophys J       Date:  2004-10       Impact factor: 4.033

Review 6.  Taming the complexity of protein folding.

Authors:  Gregory R Bowman; Vincent A Voelz; Vijay S Pande
Journal:  Curr Opin Struct Biol       Date:  2011-02       Impact factor: 6.809

7.  Folding network of villin headpiece subdomain.

Authors:  Hongxing Lei; Yao Su; Lian Jin; Yong Duan
Journal:  Biophys J       Date:  2010-11-17       Impact factor: 4.033

8.  Exploring the helix-coil transition via all-atom equilibrium ensemble simulations.

Authors:  Eric J Sorin; Vijay S Pande
Journal:  Biophys J       Date:  2005-01-21       Impact factor: 4.033

9.  Protein folding by distributed computing and the denatured state ensemble.

Authors:  Neelan J Marianayagam; Nicolas L Fawzi; Teresa Head-Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-02       Impact factor: 11.205

10.  Kinks, loops, and protein folding, with protein A as an example.

Authors:  Andrey Krokhotin; Adam Liwo; Gia G Maisuradze; Antti J Niemi; Harold A Scheraga
Journal:  J Chem Phys       Date:  2014-01-14       Impact factor: 3.488

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