Nonequilibrium path-ensemble averages for symmetric protocols

Trung Hai Nguyen, Van Ngo, João Paulo Castro Zerba, Sergei Noskov, David D.L. Minh

Research output: Contribution to journalArticlepeer-review

Abstract

According to the nonequilibrium work relations, path-ensembles generated by irreversible processes in which a system is driven out of equilibrium according to a predetermined protocol may be used to compute equilibrium free energy differences and expectation values. Estimation has previously been improved by considering data collected from the reverse process, which starts in equilibrium in the final thermodynamic state of the forward process and is driven according to the time-reversed protocol. Here, we develop a theoretically rigorous statistical estimator for nonequilibrium path-ensemble averages specialized for symmetric protocols, in which forward and reverse processes are identical. The estimator is tested with a number of model systems: a symmetric 1D potential, an asymmetric 1D potential, the unfolding of deca-alanine, separating a host-guest system, and translocating a potassium ion through a gramicidin A ion channel. When reconstructing free energies using data from symmetric protocols, the new estimator outperforms existing rigorous unidirectional and bidirectional estimators, converging more quickly and resulting in a smaller error. However, in most cases, using the bidirectional estimator with data from a forward and reverse pair of asymmetric protocols outperforms the corresponding symmetric protocol and estimator with the same amount of simulation time. Hence, the new estimator is only recommended when the bidirectional estimator is not feasible or is expected to perform poorly. The symmetric estimator shows similar performance to a unidirectional protocol of half the length and twice the number of trajectories.

Original languageEnglish
Article number194103
JournalJournal of Chemical Physics
Volume151
Issue number19
DOIs
StatePublished - Nov 21 2019
Externally publishedYes

Funding

Van Ngo is supported by a LANL Director's Fellowship (2018-2021). The work in Calgary was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) (Discovery Grant No. RGPIN-315019 to SYN) and the Alberta Innovates Technology Futures (AITF) Strategic Chair in BioMolecular Simulations (Centre for Molecular Simulation). Molecular simulations were performed under the Resource Allocation Award by Compute Canada (2018-19). We thank the high school summer intern John Zaris for his effort in the early stages of this project and the undergraduate summer intern Luiz Matheus Barbosa Santos for doing some work with João. João and Luiz were funded by the Capes Foundation within the Brazilian Ministry of Education. Van Ngo is supported by a LANL Director’s Fellowship (2018-2021). The work in Calgary was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) (Discovery Grant No. RGPIN-315019 to SYN) and the Alberta Innovates Technology Futures (AITF) Strategic Chair in BioMolecular Simulations (Centre for Molecular Simulation). Molecular simulations were performed under the Resource Allocation Award by Compute Canada (2018-19).

FundersFunder number
Capes Foundation
Centre for Molecular Simulation
Los Alamos National Laboratory2018-2021
Compute Canada2018-19
Natural Sciences and Engineering Research Council of CanadaRGPIN-315019
Alberta Innovates - Technology Futures

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