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Long-Time-Step Molecular Dynamics through Hydrogen Mass Repartitioning

Hopkins, Chad W., Le Grand, Scott, Walker, Ross C., Roitberg, Adrian E.·2015·Journal of Chemical Theory and Computation

Abstract

Previous studies have shown that the method of hydrogen mass repartitioning (HMR) is a potentially useful tool for accelerating molecular dynamics (MD) simulations. By repartitioning the mass of heavy atoms into the bonded hydrogen atoms, it is possible to slow the highest-frequency motions of the macromolecule under study, thus allowing the time step of the simulation to be increased by up to a factor of 2. In this communication, we investigate further how this mass repartitioning allows the simulation time step to be increased in a stable fashion without significantly increasing discretization error. To this end, we ran a set of simulations with different time steps and mass distributions on a three-residue peptide to get a comprehensive view of the effect of mass repartitioning and time step increase on a system whose accessible phase space is fully explored in a relatively short amount of time. We next studied a 129-residue protein, hen egg white lysozyme (HEWL), to verify that the observed behavior extends to a larger, more-realistic, system. Results for the protein include structural comparisons from MD trajectories, as well as comparisons of pKa calculations via constant-pH MD. We also calculated a potential of mean force (PMF) of a dihedral rotation for the MTS [(1-oxyl-2,2,5,5-tetramethyl-pyrroline-3-methyl)methanethiosulfonate] spin label via umbrella sampling with a set of regular MD trajectories, as well as a set of mass-repartitioned trajectories with a time step of 4 fs. Since no significant difference in kinetics or thermodynamics is observed by the use of fast HMR trajectories, further evidence is provided that long-time-step HMR MD simulations are a viable tool for accelerating MD simulations for molecules of biochemical interest.

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Cited by

Metadata

Authors
Hopkins, C. W., Le Grand, S., Walker, R. C., & Roitberg, A. E.
Venue
Journal of Chemical Theory and Computation
Published
2015-03-30
Volume
11
Issue
4
Pages
1864-1874
ISSN
  • 1549-9618 (ISSN-L)
  • 1549-9626
OpenAlex
W1969189143
Cited by
1,355
References
0
FWCI
16.21
Type
journal article
Language
en
Open access
closed
Funders
Office of Cyberinfrastructure (OCI 07-25070, OCI-1147910)

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