Literature DB >> 16803409

Protein folding kinetics and thermodynamics from atomistic simulations.

David van der Spoel1, M Marvin Seibert.   

Abstract

Determining protein folding kinetics and thermodynamics from all-atom molecular dynamics (MD) simulations without using experimental data represents a formidable scientific challenge because simulations can easily get trapped in local minima on rough free energy landscapes. This necessitates the computation of multiple simulation trajectories, which can be independent from each other or coupled in some manner, as, for example, in the replica exchange MD method. Here we present results obtained with a new analysis tool that allows the deduction of faithful kinetics data from a heterogeneous ensemble of simulation trajectories. The method is demonstrated on the decapeptide Chignolin for which we predict folding and unfolding time constants of 1.0 +/- 0.3 and 2.6 +/- 0.4 micros, respectively. We also derive the energetics of folding, and calculate a realistic melting curve for Chignolin.

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Year:  2006        PMID: 16803409     DOI: 10.1103/PhysRevLett.96.238102

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  21 in total

1.  Effect of the thermostat in the molecular dynamics simulation on the folding of the model protein chignolin.

Authors:  Carlos A Fuzo; Léo Degrève
Journal:  J Mol Model       Date:  2011-11-25       Impact factor: 1.810

2.  Simple continuous and discrete models for simulating replica exchange simulations of protein folding.

Authors:  Weihua Zheng; Michael Andrec; Emilio Gallicchio; Ronald M Levy
Journal:  J Phys Chem B       Date:  2008-02-06       Impact factor: 2.991

3.  Structural and dynamical characteristics of peptoid oligomers with achiral aliphatic side chains studied by molecular dynamics simulation.

Authors:  Sung Hyun Park; Igal Szleifer
Journal:  J Phys Chem B       Date:  2011-08-30       Impact factor: 2.991

4.  Recovering kinetics from a simplified protein folding model using replica exchange simulations: a kinetic network and effective stochastic dynamics.

Authors:  Weihua Zheng; Michael Andrec; Emilio Gallicchio; Ronald M Levy
Journal:  J Phys Chem B       Date:  2009-08-27       Impact factor: 2.991

5.  Studying the unfolding kinetics of proteins under pressure using long molecular dynamic simulation runs.

Authors:  Osvaldo Chara; José Raúl Grigera; Andrés N McCarthy
Journal:  J Biol Phys       Date:  2008-07-01       Impact factor: 1.365

Review 6.  Molecular simulations by generalized-ensemble algorithms in isothermal-isobaric ensemble.

Authors:  Masataka Yamauchi; Yoshiharu Mori; Hisashi Okumura
Journal:  Biophys Rev       Date:  2019-05-21

7.  Conformational analysis of replica exchange MD: Temperature-dependent Markov networks for FF amyloid peptides.

Authors:  Brajesh Narayan; Colm Herbert; Ye Yuan; Brian J Rodriguez; Bernard R Brooks; Nicolae-Viorel Buchete
Journal:  J Chem Phys       Date:  2018-08-21       Impact factor: 3.488

8.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit.

Authors:  Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl
Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

9.  Development of SAAP3D force field and the application to replica-exchange Monte Carlo simulation for chignolin and C-peptide.

Authors:  Michio Iwaoka; Toshiki Suzuki; Yuya Shoji; Kenichi Dedachi; Taku Shimosato; Toshiya Minezaki; Hironobu Hojo; Hiroyuki Onuki; Hiroshi Hirota
Journal:  J Comput Aided Mol Des       Date:  2017-11-17       Impact factor: 3.686

Review 10.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

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