Comparison of charge models for fixed-charge force fields: small-molecule hydration free energies in explicit solvent.
In molecular simulations with fixed-charge force fields, the choice of partial atomic charges influences numerous computed physical properties, including binding free energies. Many molecular mechanics force fields specify how nonbonded parameters should be determined, but various choices are often available for how these charges are to be determined for arbitrary small molecules. Here, we compute hydration free energies for a set of 44 small, neutral molecules in two different explicit water models (TIP3P and TIP4P-Ew) to examine the influence of charge model on agreement with experiment. Using the AMBER GAFF force field for nonbonded parameters, we test several different methods for obtaining partial atomic charges, including two fast methods exploiting semiempirical quantum calculations and methods deriving charges from the electrostatic potentials computed with several different levels of ab initio quantum calculations with and without a continuum reaction field treatment of solvent. We find that the best charge sets give a root-mean-square error from experiment of roughly 1 kcal/mol. Surprisingly, agreement with experimental hydration free energies does not increase substantially with increasing level of quantum theory, even when the quantum calculations are performed with a reaction field treatment to better model the aqueous phase. We also find that the semiempirical AM1-BCC method for computing charges works almost as well as any of the more computationally expensive ab initio methods and that the root-mean-square error reported here is similar to that for implicit solvent models reported in the literature. Further, we find that the discrepancy with experimental hydration free energies grows substantially with the polarity of the compound, as does its variation across theory levels.
Mobley
David L
DL
Department of Pharmaceutical Chemistry and Graduate Group in Biophysics, University of California at San Francisco, San Francisco, California 94143, USA. dmobley@maxwell.compbio.ucsf.edu
Dumont
Elise
E
Chodera
John D
JD
Dill
Ken A
KA
D001703:Biophysics / Q000379:methods*; D002627:Chemistry, Physical / Q000379:methods*; D003198:Computer Simulation; D004735:Energy Transfer; D019277:Entropy; D008956:Models, Chemical; D015233:Models, Statistical; D008968:Molecular Conformation; D015394:Molecular Structure; D012997:Solvents; D055672:Static Electricity; D013696:Temperature; D013816:Thermodynamics; D014867:Water / Q000737:chemistry*
D012997:Solvents; D014867:Water