Literature DB >> 19485483

Reactive flux and folding pathways in network models of coarse-grained protein dynamics.

Alexander Berezhkovskii1, Gerhard Hummer, Attila Szabo.   

Abstract

The reactive flux between folded and unfolded states of a two-state protein, whose coarse-grained dynamics is described by a master equation, is expressed in terms of the commitment or splitting probabilities of the microstates in the bottleneck region. This allows one to determine how much each transition through a dividing surface contributes to the reactive flux. By repeating the analysis for a series of dividing surfaces or, alternatively, by partitioning the reactive flux into contributions of unidirectional pathways that connect reactants and products, insight can be gained into the mechanism of protein folding. Our results for the flux in a network with complex connectivity, obtained using the discrete counterpart of Kramers' theory of activated rate processes, show that the number of reactive transitions is typically much smaller than the total number of transitions that cross a dividing surface at equilibrium.

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Year:  2009        PMID: 19485483      PMCID: PMC2832055          DOI: 10.1063/1.3139063

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


  23 in total

1.  Essential dynamics of reversible peptide folding: memory-free conformational dynamics governed by internal hydrogen bonds.

Authors:  B L de Groot; X Daura; A E Mark; H Grubmüller
Journal:  J Mol Biol       Date:  2001-05-25       Impact factor: 5.469

2.  Fast protein folding kinetics.

Authors:  Jack Schonbrun; Ken A Dill
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-20       Impact factor: 11.205

3.  Computing time scales from reaction coordinates by milestoning.

Authors:  Anton K Faradjian; Ron Elber
Journal:  J Chem Phys       Date:  2004-06-15       Impact factor: 3.488

4.  The protein folding network.

Authors:  Francesco Rao; Amedeo Caflisch
Journal:  J Mol Biol       Date:  2004-09-03       Impact factor: 5.469

5.  Levinthal's paradox.

Authors:  R Zwanzig; A Szabo; B Bagchi
Journal:  Proc Natl Acad Sci U S A       Date:  1992-01-01       Impact factor: 11.205

6.  Validation of Markov state models using Shannon's entropy.

Authors:  Sanghyun Park; Vijay S Pande
Journal:  J Chem Phys       Date:  2006-02-07       Impact factor: 3.488

7.  Hierarchical analysis of conformational dynamics in biomolecules: transition networks of metastable states.

Authors:  Frank Noé; Illia Horenko; Christof Schütte; Jeremy C Smith
Journal:  J Chem Phys       Date:  2007-04-21       Impact factor: 3.488

8.  Coarse master equations for peptide folding dynamics.

Authors:  Nicolae-Viorel Buchete; Gerhard Hummer
Journal:  J Phys Chem B       Date:  2008-01-31       Impact factor: 2.991

9.  Activated rate processes in a double well coupled to a slow harmonic mode: Finite-barrier effects.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1996-12

10.  Simple model of protein folding kinetics.

Authors:  R Zwanzig
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-10       Impact factor: 11.205

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  54 in total

1.  Characterization and rapid sampling of protein folding Markov state model topologies.

Authors:  Jeffrey K Weber; Vijay S Pande
Journal:  J Chem Theory Comput       Date:  2011-10-11       Impact factor: 6.006

2.  Protein folding is mechanistically robust.

Authors:  Jeffrey K Weber; Vijay S Pande
Journal:  Biophys J       Date:  2012-02-21       Impact factor: 4.033

3.  Equilibrium fluctuations of a single folded protein reveal a multitude of potential cryptic allosteric sites.

Authors:  Gregory R Bowman; Phillip L Geissler
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-02       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.  Full reconstruction of a vectorial protein folding pathway by atomic force microscopy and molecular dynamics simulations.

Authors:  Whasil Lee; Xiancheng Zeng; Huan-Xiang Zhou; Vann Bennett; Weitao Yang; Piotr E Marszalek
Journal:  J Biol Chem       Date:  2010-09-24       Impact factor: 5.157

6.  Graph representation of protein free energy landscape.

Authors:  Minghai Li; Mojie Duan; Jue Fan; Li Han; Shuanghong Huo
Journal:  J Chem Phys       Date:  2013-11-14       Impact factor: 3.488

7.  Diffusion along the splitting/commitment probability reaction coordinate.

Authors:  Alexander M Berezhkovskii; Attila Szabo
Journal:  J Phys Chem B       Date:  2013-07-03       Impact factor: 2.991

8.  Catch bond-like kinetics of helix cracking: network analysis by molecular dynamics and milestoning.

Authors:  Steven M Kreuzer; Tess J Moon; Ron Elber
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

9.  Analyzing milestoning networks for molecular kinetics: definitions, algorithms, and examples.

Authors:  Shruthi Viswanath; Steven M Kreuzer; Alfredo E Cardenas; Ron Elber
Journal:  J Chem Phys       Date:  2013-11-07       Impact factor: 3.488

10.  Identification of Mutational Hot Spots for Substrate Diffusion: Application to Myoglobin.

Authors:  David De Sancho; Adam Kubas; Po-Hung Wang; Jochen Blumberger; Robert B Best
Journal:  J Chem Theory Comput       Date:  2015-04-14       Impact factor: 6.006

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