Literature DB >> 18232681

Coarse master equations for peptide folding dynamics.

Nicolae-Viorel Buchete1, Gerhard Hummer.   

Abstract

We construct coarse master equations for peptide folding dynamics from atomistic molecular dynamics simulations. A maximum-likelihood propagator-based method allows us to extract accurate rates for the transitions between the different conformational states of the small helix-forming peptide Ala5. Assigning the conformational states by using transition paths instead of instantaneous molecular coordinates suppresses the effects of fast non-Markovian dynamics. The resulting master equations are validated by comparing their analytical correlation functions with those obtained directly from the molecular dynamics simulations. We find that the master equations properly capture the character and relaxation times of the entire spectrum of conformational relaxation processes. By using the eigenvectors of the transition rate matrix, we are able to systematically coarse-grain the system. We find that a two-state description, with a folded and an unfolded state, roughly captures the slow conformational dynamics. A four-state model, with two folded and two unfolded states, accurately recovers the three slowest relaxation process with time scales between 1.5 and 7 ns. The master equation models not only give access to the slow conformational dynamics but also shed light on the molecular mechanisms of the helix-coil transition.

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Year:  2008        PMID: 18232681     DOI: 10.1021/jp0761665

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  123 in total

1.  Speed limit of protein folding evidenced in secondary structure dynamics.

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Journal:  Proc Natl Acad Sci U S A       Date:  2011-09-26       Impact factor: 11.205

2.  Simple few-state models reveal hidden complexity in protein folding.

Authors:  Kyle A Beauchamp; Robert McGibbon; Yu-Shan Lin; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-09       Impact factor: 11.205

3.  Protein folded states are kinetic hubs.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-01       Impact factor: 11.205

Review 4.  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

5.  Markov state modeling and dynamical coarse-graining via discrete relaxation path sampling.

Authors:  B Fačkovec; E Vanden-Eijnden; D J Wales
Journal:  J Chem Phys       Date:  2015-07-28       Impact factor: 3.488

6.  Network representation of conformational transitions between hidden intermediates of Rd-apocytochrome b562.

Authors:  Mojie Duan; Hanzhong Liu; Minghai Li; Shuanghong Huo
Journal:  J Chem Phys       Date:  2015-10-07       Impact factor: 3.488

7.  Perspective: Computer simulations of long time dynamics.

Authors:  Ron Elber
Journal:  J Chem Phys       Date:  2016-02-14       Impact factor: 3.488

8.  Unassisted transport of N-acetyl-L-tryptophanamide through membrane: experiment and simulation of kinetics.

Authors:  Alfredo E Cardenas; Gouri S Jas; Kristine Y DeLeon; Wendy A Hegefeld; Krzysztof Kuczera; Ron Elber
Journal:  J Phys Chem B       Date:  2012-02-22       Impact factor: 2.991

9.  Dynamics of the Orientational Factor in Fluorescence Resonance Energy Transfer.

Authors:  Gerhard Hummer; Attila Szabo
Journal:  J Phys Chem B       Date:  2016-10-10       Impact factor: 2.991

10.  Long Timestep Molecular Dynamics on the Graphical Processing Unit.

Authors:  James C Sweet; Ronald J Nowling; Trevor Cickovski; Christopher R Sweet; Vijay S Pande; Jesús A Izaguirre
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

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