Assessment of GAFF2 and OPLS-AA General Force Fields in Combination with the Water Models TIP3P, SPCE, and OPC3 for the Solvation Free Energy of Druglike Organic Molecules

• DOI: 10.1021/acs.jctc.8b01039
• Publication Date: 2019-01-30T05:37:18Z
• Authors: Dario Vassetti; Marco Pagliai; Piero Procacci
• Keywords: Molecular Conformation; Water; 1-Octanol; Molecular Dynamics Simulation; 01 natural sciences; Small Molecule Libraries; Pharmaceutical Preparations; Solubility; 0103 physical sciences; Solvents; Thermodynamics; Free energy, OPLS, GAFF2, o/w partition coefficients, organic molecules, LogP, Molecular Dynamics, Nonequilibrium, Crooks; Software

Molecular dynamics simulations have been performed to compute the solvation free energy and the octanol/water partition coefficients for a challenging set of selected organic molecules, characterized by the simultaneous presence of functional groups coarsely spanning a large portion of the chemical space in druglike compounds and, in many cases, by a complex conformational landscape (2-propoxyethanol, acetylsalicylic acid, cyclohexanamine, dialifor, ketoprofen, nitralin, profluralin, terbacil). OPLS-AA and GAFF2 parametrizations of the organic molecules and of 1-octanol have been done via the Web-based automatic parameter generators, LigParGen [ Dodda et al. Nucl. Acids Res. 2017 , 121 , 3864 ] and PrimaDORAC [ Procacci J. Chem. Inf. Model. 2017 , 57 , 1240 ], respectively. For the water solvent, three popular three-point site models, TIP3P, SPCE, and OPC3, were tested. Solvation free energies in water and 1-octanol are evaluated using a recently developed nonequilibrium alchemical technology [ Procacci et al. J. Chem. Theory Comput. 2014 , 10 , 2813 ]. Extensive and accurate simulations, including all possible combinations of organic molecule, solvent, and solvent model, are allowed to assess the accuracy with regard to solvation free energies of the latest release of two widespread force fields, OPLS and GAFF. The collected data are relevant in the evaluation of the predictive power of these classical force fields (and of the related support software for automated parametrization) with regard to binding free energies in a drug-receptor system for industrial applications.