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Fast Equilibration of Water between Buried Sites and the Bulk by Molecular Dynamics with Parallel Monte Carlo Water Moves on Graphical Processing Units.
Ben-Shalom, Ido Y; Lin, Charles; Radak, Brian K; Sherman, Woody; Gilson, Michael K.
Afiliación
  • Ben-Shalom IY; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California 92093, United States.
  • Lin C; Roivant Discovery, Boston, Massachusetts 02110, United States.
  • Radak BK; Roivant Discovery, Boston, Massachusetts 02110, United States.
  • Sherman W; Roivant Discovery, Boston, Massachusetts 02110, United States.
  • Gilson MK; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California 92093, United States.
J Chem Theory Comput ; 17(12): 7366-7372, 2021 Dec 14.
Article en En | MEDLINE | ID: mdl-34762421
ABSTRACT
Molecular dynamics (MD) simulations of proteins are commonly used to sample from the Boltzmann distribution of conformational states, with wide-ranging applications spanning chemistry, biophysics, and drug discovery. However, MD can be inefficient at equilibrating water occupancy for buried cavities in proteins that are inaccessible to the surrounding solvent. Indeed, the time needed for water molecules to equilibrate between the bulk solvent and the binding site can be well beyond what is practical with standard MD, which typically ranges from hundreds of nanoseconds to a few microseconds. We recently introduced a hybrid Monte Carlo/MD (MC/MD) method, which speeds up the equilibration of water between buried cavities and the surrounding solvent, while sampling from the thermodynamically correct distribution of states. While the initial implementation of the MC functionality led to considerable slowing of the overall simulations, here we address this problem with a parallel MC algorithm implemented on graphical processing units. This results in speed-ups of 10-fold to 1000-fold over the original MC/MD algorithm, depending on the system and simulation parameters. The present method is available for use in the AMBER simulation software.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: J Chem Theory Comput Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: J Chem Theory Comput Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos