Literature DB >> 26636365

Ensuring Mixing Efficiency of Replica-Exchange Molecular Dynamics Simulations.

Mark J Abraham1, Jill E Gready1.   

Abstract

We address the question of constructing a protocol for replica-exchange molecular dynamics (REMD) simulations that make efficient use of the replica space, assess whether published applications are achieving such "mixing" efficiency, and provide a how-to guide to assist users to plan efficient REMD simulations. To address our first question, we introduce and discuss three metrics for assessing the number of replica-exchange attempts required to justify the use of a replica scheme and define a "transit number" as the lower bound for the length of an efficient simulation. Our literature survey of applications of REMD simulations of peptides in explicit solvent indicated that authors are not routinely reporting sufficient details of their simulation protocols to allow readers to make independent assessments of the impact of the method on their results, particularly whether mixing efficiency has been achieved. Necessary details include the expected or observed replica-exchange probability, together with the total number of exchange attempts, the exchange period, and estimates of the autocorrelation time of the potential energy. Our analysis of cases where the necessary information was reported suggests that in many of these simulations there are insufficient exchanges attempted or an insufficiently long period between them to provide confidence that the simulation length justifies the size of the replica scheme. We suggest guidelines for designing REMD simulation protocols to ensure mixing efficiency. Two key recommendations are that the exchange period should in general be larger than 1 ps and the number of exchange attempts should be chosen to significantly exceed the transit number for the replica scheme.

Entities:  

Year:  2008        PMID: 26636365     DOI: 10.1021/ct800016r

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  17 in total

1.  Carbon nanotube inhibits the formation of β-sheet-rich oligomers of the Alzheimer's amyloid-β(16-22) peptide.

Authors:  Huiyu Li; Yin Luo; Philippe Derreumaux; Guanghong Wei
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

Review 2.  Multiscale implementation of infinite-swap replica exchange molecular dynamics.

Authors:  Tang-Qing Yu; Jianfeng Lu; Cameron F Abrams; Eric Vanden-Eijnden
Journal:  Proc Natl Acad Sci U S A       Date:  2016-10-03       Impact factor: 11.205

3.  Efficacy of independence sampling in replica exchange simulations of ordered and disordered proteins.

Authors:  Kuo Hao Lee; Jianhan Chen
Journal:  J Comput Chem       Date:  2017-08-25       Impact factor: 3.376

Review 4.  Aqueous ionic liquids influence the disulfide bond isoform equilibrium in conotoxin AuIB: a consequence of the Hofmeister effect?

Authors:  Karuna Anna Sajeevan; Durba Roy
Journal:  Biophys Rev       Date:  2018-01-02

5.  Large-scale asynchronous and distributed multidimensional replica exchange molecular simulations and efficiency analysis.

Authors:  Junchao Xia; William F Flynn; Emilio Gallicchio; Bin W Zhang; Peng He; Zhiqiang Tan; Ronald M Levy
Journal:  J Comput Chem       Date:  2015-07-07       Impact factor: 3.376

6.  The O-glycosylated linker from the Trichoderma reesei Family 7 cellulase is a flexible, disordered protein.

Authors:  Gregg T Beckham; Yannick J Bomble; James F Matthews; Courtney B Taylor; Michael G Resch; John M Yarbrough; Steve R Decker; Lintao Bu; Xiongce Zhao; Clare McCabe; Jakob Wohlert; Malin Bergenstråhle; John W Brady; William S Adney; Michael E Himmel; Michael F Crowley
Journal:  Biophys J       Date:  2010-12-01       Impact factor: 4.033

7.  Massive-Scale Binding Free Energy Simulations of HIV Integrase Complexes Using Asynchronous Replica Exchange Framework Implemented on the IBM WCG Distributed Network.

Authors:  Junchao Xia; William Flynn; Emilio Gallicchio; Keith Uplinger; Jonathan D Armstrong; Stefano Forli; Arthur J Olson; Ronald M Levy
Journal:  J Chem Inf Model       Date:  2019-02-22       Impact factor: 4.956

8.  Simulating Replica Exchange: Markov State Models, Proposal Schemes, and the Infinite Swapping Limit.

Authors:  Bin W Zhang; Wei Dai; Emilio Gallicchio; Peng He; Junchao Xia; Zhiqiang Tan; Ronald M Levy
Journal:  J Phys Chem B       Date:  2016-04-29       Impact factor: 2.991

9.  Replica-Exchange Accelerated Molecular Dynamics (REXAMD) Applied to Thermodynamic Integration.

Authors:  Mikolai Fajer; Donald Hamelberg; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2008-09-03       Impact factor: 6.006

10.  Using multistate free energy techniques to improve the efficiency of replica exchange accelerated molecular dynamics.

Authors:  Mikolai Fajer; Robert V Swift; J Andrew McCammon
Journal:  J Comput Chem       Date:  2009-08       Impact factor: 3.376

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