Literature DB >> 35639709

Modified Hamiltonian in FEP Calculations for Reducing the Computational Cost of Electrostatic Interactions.

Hiraku Oshima1, Yuji Sugita1,2,3.   

Abstract

The free-energy perturbation (FEP) method predicts relative and absolute free-energy changes of biomolecules in solvation and binding with other molecules. FEP is, therefore, one of the most essential tools in in silico drug design. In conventional FEP, to smoothly connect two thermodynamic states, the potential energy is modified as a linear combination of the end-state potential energies by introducing scaling factors. When the particle mesh Ewald is used for electrostatic calculations, conventional FEP requires two reciprocal-space calculations per time step, which largely decreases the computational performance. To overcome this problem, we propose a new FEP scheme by introducing a modified Hamiltonian instead of interpolation of the end-state potential energies. The scheme introduces nonuniform scaling into the electrostatic potential as used in Replica Exchange with Solute Tempering 2 (REST2) and does not require additional reciprocal-space calculations. We tested this modified Hamiltonian in FEP calculations in several biomolecular systems. In all cases, the calculated free-energy changes with the current scheme are in good agreement with those from conventional FEP. The modified Hamiltonian in FEP greatly improves the computational performance, which is particularly marked for large biomolecular systems whose reciprocal-space calculations are the major bottleneck of total computational time.

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Year:  2022        PMID: 35639709      PMCID: PMC9199518          DOI: 10.1021/acs.jcim.1c01532

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   6.162


  41 in total

1.  Soft-core potentials in thermodynamic integration: comparing one- and two-step transformations.

Authors:  Thomas Steinbrecher; InSuk Joung; David A Case
Journal:  J Comput Chem       Date:  2011-08-27       Impact factor: 3.376

2.  Perspective on Free-Energy Perturbation Calculations for Chemical Equilibria.

Authors:  William L Jorgensen; Laura L Thomas
Journal:  J Chem Theory Comput       Date:  2008-05-09       Impact factor: 6.006

3.  Extended Thermodynamic Integration: Efficient Prediction of Lambda Derivatives at Nonsimulated Points.

Authors:  Anita de Ruiter; Chris Oostenbrink
Journal:  J Chem Theory Comput       Date:  2016-08-22       Impact factor: 6.006

4.  An Alternative to Conventional λ-Intermediate States in Alchemical Free Energy Calculations: λ-Enveloping Distribution Sampling.

Authors:  Gerhard König; Nina Glaser; Benjamin Schroeder; Alžbeta Kubincová; Philippe H Hünenberger; Sereina Riniker
Journal:  J Chem Inf Model       Date:  2020-09-04       Impact factor: 4.956

5.  Scalable molecular dynamics on CPU and GPU architectures with NAMD.

Authors:  James C Phillips; David J Hardy; Julio D C Maia; John E Stone; João V Ribeiro; Rafael C Bernardi; Ronak Buch; Giacomo Fiorin; Jérôme Hénin; Wei Jiang; Ryan McGreevy; Marcelo C R Melo; Brian K Radak; Robert D Skeel; Abhishek Singharoy; Yi Wang; Benoît Roux; Aleksei Aksimentiev; Zaida Luthey-Schulten; Laxmikant V Kalé; Klaus Schulten; Christophe Chipot; Emad Tajkhorshid
Journal:  J Chem Phys       Date:  2020-07-28       Impact factor: 3.488

6.  Energetics of protein-protein interactions: analysis of the barnase-barstar interface by single mutations and double mutant cycles.

Authors:  G Schreiber; A R Fersht
Journal:  J Mol Biol       Date:  1995-04-28       Impact factor: 5.469

7.  Affinities of amino acid side chains for solvent water.

Authors:  R Wolfenden; L Andersson; P M Cullis; C C Southgate
Journal:  Biochemistry       Date:  1981-02-17       Impact factor: 3.162

Review 8.  Thermodynamics and Kinetics of Drug-Target Binding by Molecular Simulation.

Authors:  Sergio Decherchi; Andrea Cavalli
Journal:  Chem Rev       Date:  2020-10-02       Impact factor: 60.622

9.  CHARMM-GUI Free Energy Calculator for Absolute and Relative Ligand Solvation and Binding Free Energy Simulations.

Authors:  Seonghoon Kim; Hiraku Oshima; Han Zhang; Nathan R Kern; Suyong Re; Jumin Lee; Benoît Roux; Yuji Sugita; Wei Jiang; Wonpil Im
Journal:  J Chem Theory Comput       Date:  2020-10-28       Impact factor: 6.006

10.  GENESIS: a hybrid-parallel and multi-scale molecular dynamics simulator with enhanced sampling algorithms for biomolecular and cellular simulations.

Authors:  Jaewoon Jung; Takaharu Mori; Chigusa Kobayashi; Yasuhiro Matsunaga; Takao Yoda; Michael Feig; Yuji Sugita
Journal:  Wiley Interdiscip Rev Comput Mol Sci       Date:  2015-05-07
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