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Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories

[Image: see text] Equilibrium formally can be represented as an ensemble of uncoupled systems undergoing unbiased dynamics in which detailed balance is maintained. Many nonequilibrium processes can be described by suitable subsets of the equilibrium ensemble. Here, we employ the “weighted ensemble”...

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Autores principales: Suárez, Ernesto, Lettieri, Steven, Zwier, Matthew C., Stringer, Carsen A., Subramanian, Sundar Raman, Chong, Lillian T., Zuckerman, Daniel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2014
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168800/
https://www.ncbi.nlm.nih.gov/pubmed/25246856
http://dx.doi.org/10.1021/ct401065r
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author Suárez, Ernesto
Lettieri, Steven
Zwier, Matthew C.
Stringer, Carsen A.
Subramanian, Sundar Raman
Chong, Lillian T.
Zuckerman, Daniel M.
author_facet Suárez, Ernesto
Lettieri, Steven
Zwier, Matthew C.
Stringer, Carsen A.
Subramanian, Sundar Raman
Chong, Lillian T.
Zuckerman, Daniel M.
author_sort Suárez, Ernesto
collection PubMed
description [Image: see text] Equilibrium formally can be represented as an ensemble of uncoupled systems undergoing unbiased dynamics in which detailed balance is maintained. Many nonequilibrium processes can be described by suitable subsets of the equilibrium ensemble. Here, we employ the “weighted ensemble” (WE) simulation protocol [Huber and Kim, Biophys. J.1996, 70, 97–110] to generate equilibrium trajectory ensembles and extract nonequilibrium subsets for computing kinetic quantities. States do not need to be chosen in advance. The procedure formally allows estimation of kinetic rates between arbitrary states chosen after the simulation, along with their equilibrium populations. We also describe a related history-dependent matrix procedure for estimating equilibrium and nonequilibrium observables when phase space has been divided into arbitrary non-Markovian regions, whether in WE or ordinary simulation. In this proof-of-principle study, these methods are successfully applied and validated on two molecular systems: explicitly solvated methane association and the implicitly solvated Ala4 peptide. We comment on challenges remaining in WE calculations.
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spelling pubmed-41688002015-03-03 Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories Suárez, Ernesto Lettieri, Steven Zwier, Matthew C. Stringer, Carsen A. Subramanian, Sundar Raman Chong, Lillian T. Zuckerman, Daniel M. J Chem Theory Comput [Image: see text] Equilibrium formally can be represented as an ensemble of uncoupled systems undergoing unbiased dynamics in which detailed balance is maintained. Many nonequilibrium processes can be described by suitable subsets of the equilibrium ensemble. Here, we employ the “weighted ensemble” (WE) simulation protocol [Huber and Kim, Biophys. J.1996, 70, 97–110] to generate equilibrium trajectory ensembles and extract nonequilibrium subsets for computing kinetic quantities. States do not need to be chosen in advance. The procedure formally allows estimation of kinetic rates between arbitrary states chosen after the simulation, along with their equilibrium populations. We also describe a related history-dependent matrix procedure for estimating equilibrium and nonequilibrium observables when phase space has been divided into arbitrary non-Markovian regions, whether in WE or ordinary simulation. In this proof-of-principle study, these methods are successfully applied and validated on two molecular systems: explicitly solvated methane association and the implicitly solvated Ala4 peptide. We comment on challenges remaining in WE calculations. American Chemical Society 2014-03-03 2014-07-08 /pmc/articles/PMC4168800/ /pubmed/25246856 http://dx.doi.org/10.1021/ct401065r Text en Copyright © 2014 American Chemical Society Terms of Use (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html)
spellingShingle Suárez, Ernesto
Lettieri, Steven
Zwier, Matthew C.
Stringer, Carsen A.
Subramanian, Sundar Raman
Chong, Lillian T.
Zuckerman, Daniel M.
Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories
title Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories
title_full Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories
title_fullStr Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories
title_full_unstemmed Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories
title_short Simultaneous Computation of Dynamical and Equilibrium Information Using a Weighted Ensemble of Trajectories
title_sort simultaneous computation of dynamical and equilibrium information using a weighted ensemble of trajectories
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168800/
https://www.ncbi.nlm.nih.gov/pubmed/25246856
http://dx.doi.org/10.1021/ct401065r
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