Implicit solvation is a mean force approach to model solvent forces acting on a solute molecule. It is frequently used in molecular simulations to reduce the computational cost of solvent treatment. In the first instance, the free energy of solvation and the associated solvent鈥搒olute forces can be approximated by a function of the solvent-accessible surface area (SASA) of the solute and differentiated by an atom鈥搒pecific solvation
parameter 蟽
iSASA. A procedure for the determination of values for the 蟽
iSASA parameters through matching of explicit and implicit solvation forces is proposed. Using the results of Molecular Dynamics simulations of 188 topologically diverse protein structures in water and in implicit solvent, values for the 蟽
iSASA parameters for atom types
i of the standard amino acids in the GROMOS force field have been determined. A simplified representation based on groups of atom types 蟽
gSASA was obtained
via partitioning of the atom鈥搕ype 蟽
iSASA distributions by dynamic
programming. Three groups of atom types with well separated
parameter ranges were obtained, and their performance in implicit versus explicit simulations was assessed. The solvent forces are available at
http://mathbio.nimr.mrc.ac.uk/wiki/Solvent_Forces.