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

Tai-Sung LeeDavid S CeruttiDan MermelsteinCharles LinScott LeGrandTimothy J GieseAdrian E RoitbergDavid A CaseRoss C WalkerDarrin M York
Published in: Journal of chemical information and modeling (2018)
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.
Keyphrases
  • molecular dynamics
  • density functional theory
  • machine learning
  • deep learning
  • quantum dots
  • risk assessment
  • aqueous solution
  • molecular dynamics simulations
  • data analysis