Literature DB >> 26620937

How Efficient Is Replica Exchange Molecular Dynamics? An Analytic Approach.

Hugh Nymeyer1.   

Abstract

Replica exchange molecular dynamics (REMD) has become a standard technique for accelerating relaxation in biosimulations. Despite its widespread use, questions remain about its efficiency compared with conventional, constant temperature molecular dynamics (MD). An analytic approach is taken to describe the relative efficiency of REMD with respect to MD. This is applied to several simple two-state models and to several real proteins-protein L and the B domain of protein A-to predict the relative efficiency of REMD with respect to MD in actual applications. In agreement with others, we find the following: as long as there is a positive activation energy for folding, REMD is more efficient than MD; the effectiveness of REMD is strongly dependent on the activation enthalpy; and the efficiency of REMD for actual proteins is a strong function of the maximum temperature. Choosing the maximum temperature too high can result in REMD becoming significantly less efficient than conventional MD. A good rule of thumb appears to be to choose the maximum temperature of the REMD simulation slightly above the temperature at which the enthalpy for folding vanishes. Additionally, we find that the number of replicas in REMD, while important for simulations shorter than one or two relaxation times, has a minimal effect on the asymptotic efficiency of the method.

Entities:  

Year:  2008        PMID: 26620937     DOI: 10.1021/ct7003337

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


  21 in total

1.  Quantifying uncertainty and sampling quality in biomolecular simulations.

Authors:  Alan Grossfield; Daniel M Zuckerman
Journal:  Annu Rep Comput Chem       Date:  2009-01-01

Review 2.  Biomolecular simulation and modelling: status, progress and prospects.

Authors:  Marc W van der Kamp; Katherine E Shaw; Christopher J Woods; Adrian J Mulholland
Journal:  J R Soc Interface       Date:  2008-12-06       Impact factor: 4.118

Review 3.  Enhanced sampling techniques in molecular dynamics simulations of biological systems.

Authors:  Rafael C Bernardi; Marcelo C R Melo; Klaus Schulten
Journal:  Biochim Biophys Acta       Date:  2014-10-23

4.  The combined force field-sampling problem in simulations of disordered amyloid-β peptides.

Authors:  James Lincoff; Sukanya Sasmal; Teresa Head-Gordon
Journal:  J Chem Phys       Date:  2019-03-14       Impact factor: 3.488

5.  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

6.  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

7.  Rapid sampling of all-atom peptides using a library-based polymer-growth approach.

Authors:  Artem B Mamonov; Xin Zhang; Daniel M Zuckerman
Journal:  J Comput Chem       Date:  2010-08-23       Impact factor: 3.376

Review 8.  Equilibrium sampling in biomolecular simulations.

Authors:  Daniel M Zuckerman
Journal:  Annu Rev Biophys       Date:  2011       Impact factor: 12.981

9.  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

10.  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

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