Literature DB >> 34910499

Markovian Weighted Ensemble Milestoning (M-WEM): Long-Time Kinetics from Short Trajectories.

Dhiman Ray1, Sharon Emily Stone1, Ioan Andricioaei1,2.   

Abstract

We introduce a rare-event sampling scheme, named Markovian Weighted Ensemble Milestoning (M-WEM), which inlays a weighted ensemble framework within a Markovian milestoning theory to efficiently calculate thermodynamic and kinetic properties of long-time-scale biomolecular processes from short atomistic molecular dynamics simulations. M-WEM is tested on the Müller-Brown potential model, the conformational switching in alanine dipeptide, and the millisecond time-scale protein-ligand unbinding in a trypsin-benzamidine complex. Not only can M-WEM predict the kinetics of these processes with quantitative accuracy but it also allows for a scheme to reconstruct a multidimensional free-energy landscape along additional degrees of freedom, which are not part of the milestoning progress coordinate. For the ligand-receptor system, the experimental residence time, association and dissociation kinetics, and binding free energy could be reproduced using M-WEM within a simulation time of a few hundreds of nanoseconds, which is a fraction of the computational cost of other currently available methods, and close to 4 orders of magnitude less than the experimental residence time. Due to the high accuracy and low computational cost, the M-WEM approach can find potential applications in kinetics and free-energy-based computational drug design.

Entities:  

Year:  2021        PMID: 34910499     DOI: 10.1021/acs.jctc.1c00803

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


  4 in total

1.  Gaussian-Accelerated Molecular Dynamics with the Weighted Ensemble Method: A Hybrid Method Improves Thermodynamic and Kinetic Sampling.

Authors:  Surl-Hee Ahn; Anupam A Ojha; Rommie E Amaro; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2021-11-30       Impact factor: 6.006

Review 2.  Enhanced-Sampling Simulations for the Estimation of Ligand Binding Kinetics: Current Status and Perspective.

Authors:  Katya Ahmad; Andrea Rizzi; Riccardo Capelli; Davide Mandelli; Wenping Lyu; Paolo Carloni
Journal:  Front Mol Biosci       Date:  2022-06-08

3.  WESTPA 2.0: High-Performance Upgrades for Weighted Ensemble Simulations and Analysis of Longer-Timescale Applications.

Authors:  John D Russo; She Zhang; Jeremy M G Leung; Anthony T Bogetti; Jeff P Thompson; Alex J DeGrave; Paul A Torrillo; A J Pratt; Kim F Wong; Junchao Xia; Jeremy Copperman; Joshua L Adelman; Matthew C Zwier; David N LeBard; Daniel M Zuckerman; Lillian T Chong
Journal:  J Chem Theory Comput       Date:  2022-01-19       Impact factor: 6.006

4.  Water regulates the residence time of Benzamidine in Trypsin.

Authors:  Narjes Ansari; Valerio Rizzi; Michele Parrinello
Journal:  Nat Commun       Date:  2022-09-16       Impact factor: 17.694

  4 in total

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