scholarly journals A Benchmark of Electrostatic Methods Performance in Relative Binding Free Energy Calculations

Author(s):  
Yunhui Ge ◽  
David F. Hahn ◽  
David Mobley

<div><div><div><p>Relative free energy calculations are fast becoming a critical part of early stage pharmaceu- tical design, making it important to know how to obtain the best performance with these calculations in applications which 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 non-equilibrium switching protocol. We found simulations using RF achieve comparable re- sults as 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.</p></div></div></div>

2020 ◽  
Author(s):  
Yunhui Ge ◽  
David F. Hahn ◽  
David Mobley

<div><div><div><p>Relative free energy calculations are fast becoming a critical part of early stage pharmaceu- tical design, making it important to know how to obtain the best performance with these calculations in applications which 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 non-equilibrium switching protocol. We found simulations using RF achieve comparable re- sults as 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.</p></div></div></div>


2021 ◽  
Author(s):  
Yunhui Ge ◽  
David F. Hahn ◽  
David Mobley

<div><div><div><p>Relative free energy calculations are fast becoming a critical part of early stage pharmaceu- tical design, making it important to know how to obtain the best performance with these calculations in applications which 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 non-equilibrium switching protocol. We found simulations using RF achieve comparable re- sults as 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.</p></div></div></div>


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Germano Heinzelmann ◽  
Michael K. Gilson

AbstractAbsolute binding free energy calculations with explicit solvent molecular simulations can provide estimates of protein-ligand affinities, and thus reduce the time and costs needed to find new drug candidates. However, these calculations can be complex to implement and perform. Here, we introduce the software BAT.py, a Python tool that invokes the AMBER simulation package to automate the calculation of binding free energies for a protein with a series of ligands. The software supports the attach-pull-release (APR) and double decoupling (DD) binding free energy methods, as well as the simultaneous decoupling-recoupling (SDR) method, a variant of double decoupling that avoids numerical artifacts associated with charged ligands. We report encouraging initial test applications of this software both to re-rank docked poses and to estimate overall binding free energies. We also show that it is practical to carry out these calculations cheaply by using graphical processing units in common machines that can be built for this purpose. The combination of automation and low cost positions this procedure to be applied in a relatively high-throughput mode and thus stands to enable new applications in early-stage drug discovery.


Author(s):  
Stamatia Zavitsanou ◽  
Alexandros Tsengenes ◽  
Michail Papadourakis ◽  
Giorgio Amendola ◽  
Alexios Chatzigoulas ◽  
...  

2016 ◽  
Vol 56 (12) ◽  
pp. 2388-2400 ◽  
Author(s):  
Daniel Cappel ◽  
Michelle Lynn Hall ◽  
Eelke B. Lenselink ◽  
Thijs Beuming ◽  
Jun Qi ◽  
...  

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