Enhanced Monte Carlo Sampling through Replica Exchange with Solute Tempering
Author(s) -
D. J. A. Cole,
Julian TiradoRives,
William L. Jorgensen
Publication year - 2014
Publication title -
journal of chemical theory and computation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.001
H-Index - 185
eISSN - 1549-9626
pISSN - 1549-9618
DOI - 10.1021/ct400989x
Subject(s) - monte carlo method , parallel tempering , replica , free energy perturbation , statistical physics , umbrella sampling , monte carlo integration , sampling (signal processing) , consistency (knowledge bases) , computer science , chemistry , computational chemistry , hybrid monte carlo , physics , markov chain monte carlo , mathematics , molecular dynamics , statistics , art , filter (signal processing) , artificial intelligence , visual arts , computer vision
With a view to improving the consistency of free energy perturbation calculations in Monte Carlo simulations of protein-ligand complexes, we have implemented the replica exchange with solute tempering (REST) method in the MCPRO software. By augmenting the standard REST approach with regular attempted jumps in selected dihedral angles, our combined method facilitates sampling of ligand binding modes that are separated by high free energy barriers and ensures that computed free energy changes are considerably less dependent on the starting conditions and the chosen mutation pathway than those calculated with standard Monte Carlo sampling. We have applied the enhanced sampling method to the calculation of the activities of seven non-nucleoside inhibitors of HIV-1 reverse transcriptase, and its Tyr181Cys variant, and have shown that a range of binding orientations is possible depending on the nature of the ligand and the presence of mutations at the binding site.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom