Literature DB >> 26005670

ADAPTIVE MULTILEVEL SPLITTING IN MOLECULAR DYNAMICS SIMULATIONS.

David Aristoff1, Tony Lelièvre2, Christopher G Mayne3, Ivan Teo3.   

Abstract

Adaptive Multilevel Splitting (AMS) is a replica-based rare event sampling method that has been used successfully in high-dimensional stochastic simulations to identify trajectories across a high potential barrier separating one metastable state from another, and to estimate the probability of observing such a trajectory. An attractive feature of AMS is that, in the limit of a large number of replicas, it remains valid regardless of the choice of reaction coordinate used to characterize the trajectories. Previous studies have shown AMS to be accurate in Monte Carlo simulations. In this study, we extend the application of AMS to molecular dynamics simulations and demonstrate its effectiveness using a simple test system. Our conclusion paves the way for useful applications, such as molecular dynamics calculations of the characteristic time of drug dissociation from a protein target.

Entities:  

Year:  2015        PMID: 26005670      PMCID: PMC4440697          DOI: 10.1051/proc/201448009

Source DB:  PubMed          Journal:  ESAIM Proc Surv


  2 in total

1.  Scalable molecular dynamics with NAMD.

Authors:  James C Phillips; Rosemary Braun; Wei Wang; James Gumbart; Emad Tajkhorshid; Elizabeth Villa; Christophe Chipot; Robert D Skeel; Laxmikant Kalé; Klaus Schulten
Journal:  J Comput Chem       Date:  2005-12       Impact factor: 3.376

2.  A multiple replica approach to simulate reactive trajectories.

Authors:  Frédéric Cérou; Arnaud Guyader; Tony Lelièvre; David Pommier
Journal:  J Chem Phys       Date:  2011-02-07       Impact factor: 3.488

  2 in total
  2 in total

1.  Adaptive Multilevel Splitting Method for Molecular Dynamics Calculation of Benzamidine-Trypsin Dissociation Time.

Authors:  Ivan Teo; Christopher G Mayne; Klaus Schulten; Tony Lelièvre
Journal:  J Chem Theory Comput       Date:  2016-05-18       Impact factor: 6.006

2.  SEEKR2: Versatile Multiscale Milestoning Utilizing the OpenMM Molecular Dynamics Engine.

Authors:  Lane W Votapka; Andrew M Stokely; Anupam A Ojha; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2022-06-27       Impact factor: 6.162

  2 in total

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