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A Benchmark of Electrostatic Method Performance in Relative Binding Free Energy Calculations

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Date 2021 Mar 9
PMID 33686853
Citations 10
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Abstract

Relative free energy calculations are fast becoming a critical part of early stage pharmaceutical design, making it important to know how to obtain the best performance with these calculations in applications that could span hundreds of calculations and molecules. In this work, we compared two different treatments of long-range electrostatics, Particle Mesh Ewald (PME) and Reaction Field (RF), in relative binding free energy calculations using a nonequilibrium switching protocol. We found simulations using RF achieve comparable results to those using PME but gain more efficiency when using CPU and similar performance using GPU. The results from this work encourage more use of RF in molecular simulations.

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References
1.
Shirts M, Klein C, Swails J, Yin J, Gilson M, Mobley D . Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset. J Comput Aided Mol Des. 2016; 31(1):147-161. PMC: 5581938. DOI: 10.1007/s10822-016-9977-1. View

2.
Loeffler H, Bosisio S, Duarte Ramos Matos G, Suh D, Roux B, Mobley D . Reproducibility of Free Energy Calculations across Different Molecular Simulation Software Packages. J Chem Theory Comput. 2018; 14(11):5567-5582. DOI: 10.1021/acs.jctc.8b00544. View

3.
Reif M, Krautler V, Kastenholz M, Daura X, Hunenberger P . Molecular dynamics simulations of a reversibly folding beta-heptapeptide in methanol: influence of the treatment of long-range electrostatic interactions. J Phys Chem B. 2009; 113(10):3112-28. DOI: 10.1021/jp807421a. View

4.
Song L, Lee T, Zhu C, York D, Merz Jr K . Using AMBER18 for Relative Free Energy Calculations. J Chem Inf Model. 2019; 59(7):3128-3135. PMC: 7371000. DOI: 10.1021/acs.jcim.9b00105. View

5.
Reif M, Oostenbrink C . Net charge changes in the calculation of relative ligand-binding free energies via classical atomistic molecular dynamics simulation. J Comput Chem. 2013; 35(3):227-43. PMC: 4237198. DOI: 10.1002/jcc.23490. View