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GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features

GPU-Accelerated Molecular Dynamics and Free Energy Methods in Amber18: Performance Enhancements and New Features

Journal of Chemical Information and Modeling vol. 58  p. 2043-2050  DOI: 10.1021/acs.jcim.8b00462
PMID/PMCID: PMC6226240 Published: 2018-09-10 


Tai-Sung Lee
David S. Cerutti
Dan Mermelstein
Charles Lin
Scott LeGrand
Timothy J. Giese
Adrian E. Roitberg
David A. Case
Ross C. Walker
Darrin M. York

Abstract

We report progress in graphics processing unit (GPU)-accelerated molecular dynamics and free energy methods in Amber18. Of particular interest is the development of alchemical free energy algorithms, including free energy perturbation and thermodynamic integration methods with support for nonlinear soft-core potential and parameter interpolation transformation pathways. These methods can be used in conjunction with enhanced sampling techniques such as replica exchange, constant-pH molecular dynamics, and new 12–6–4 potentials for metal ions. Additional performance enhancements have been made that enable appreciable speed-up on GPUs relative to the previous software release.