Reduced Free Energy Perturbation/Hamiltonian Replica Exchange Molecular Dynamics Method with Unbiased Alchemical Thermodynamic Axis.

ABSTRACT: Replica-exchange molecular dynamics (REMD) has been proven to efficiently improve the convergence of free-energy perturbation (FEP) calculations involving considerable reorganization of their surrounding. We previously introduced the FEP/(?,H)-REMD algorithm for ligand binding, in which replicas along the alchemical thermodynamic coupling axis ? were expanded as a series of Hamiltonian boosted replicas along a second axis to form a two-dimensional replica-exchange exchange map [Jiang, W.; Roux, B., J. Chem. Theory Comput. 2010, 6 (9), 2559-2565]. Aiming to achieve a similar performance at a lower computational cost, we propose here a modified version of this algorithm in which only the end-states along the alchemical axis are augmented by boosted replicas. The reduced FEP/(?,H)-REMD method with one-dimensional unbiased alchemical thermodynamic coupling axis ? is implemented on the basis of generic multiple copy algorithm (MCA) module of the biomolecular simulation program NAMD. The flexible MCA framework of NAMD enables a user to design customized replica-exchange patterns through Tcl scripting in the context of a highly parallelized simulation program without touching the source code. Two Hamiltonian tempering boosting scheme were examined with the new algorithm: a first one based on potential energy rescaling of a preidentified "solute" and a second one via the introduction of flattening torsional free-energy barriers. As two illustrative examples with reliable experiment data, the absolute binding free energies of p-xylene and n-butylbenzene to the nonpolar cavity of the L99A mutant of T4 lysozyme were calculated. The tests demonstrate that the new protocol efficiently enhances the sampling of torsional motions for backbone and side chains around the binding pocket and accelerates the convergence of the free-energy computations.

SUBMITTER: Jiang W 

PROVIDER: S-EPMC6339808 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature