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The accurate prediction of protein-ligand binding free energies is a primary objective in computer-aided drug design. The solvation free energy of a small molecule provides a surrogate to the desolvation of the ligand in the thermodynamic process of protein-ligand binding. Here, we use explicit solvent molecular dynamics free energy perturbation to predict the absolute solvation free energies of a set of 239 small molecules, spanning diverse chemical functional groups commonly found in drugs and drug-like molecules. We also compare the performance of absolute solvation free energies obtained using the OPLS₂005 force field with two other commonly used small molecule force fields-general AMBER force field (GAFF) with AM1-BCC charges and CHARMm-MSI with CHelpG charges. Using the OPLS₂005 force field, we obtain high correlation with experimental solvation free energies (R (2) = 0. 94) and low average unsigned errors for a majority of the functional groups compared to AM1-BCC/GAFF or CHelpG/CHARMm-MSI. However, OPLS₂005 has errors of over 1. 3 kcal/mol for certain classes of polar compounds. We show that predictions on these compound classes can be improved by using a semiempirical charge assignment method with an implicit bond charge correction.
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Devleena Shivakumar
Schrodinger (United States)
Joshua Williams
University of Nevada, Reno
Yujie Wu
Donghua University
Journal of Chemical Theory and Computation
Schrodinger (United States)
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Shivakumar et al. (Wed,) studied this question.
synapsesocial.com/papers/69db5520e6ab964fb0836ec8 — DOI: https://doi.org/10.1021/ct900587b
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