Implicit solvent models for biomolecular simulations are reviewed and their
underlying statistical mechanical basis is discussed. The fundamental quan
tity that implicit models seek to approximate is the solute potential of me
an force, which determines the statistical weight of solute conformations,
and which is obtained by averaging over the solvent degrees of freedom. It
is possible to express the total free energy as the reversible work perform
ed in two successive steps. First, the solute is inserted in the solvent wi
th zero atomic partial charges; second, the atomic partial charges of the s
olute are switched from zero to their full values. Consequently, the total
solvation free energy corresponds to a sum of non-polar and electrostatic c
ontributions. These mio contributions are often approximated by simple geom
etrical models (such as solvent exposed area models) and by macroscopic con
tinuum electrostatics, respectively. One powerful route is to approximate t
he average solvent density distribution around the solute, i.e. the solute-
solvent density correlation functions, as in statistical mechanical integra
l equations. Recent progress with semi-analytical approximations makes cont
inuum electrostatics treatments very efficient, Still more efficient are fu
lly empirical, knowledge-based models, whose relation to explicit solvent t
reatments is not fully resolved, however. Continuum models that treat both
solute and solvent as dielectric continua are also discussed, and the relat
ion between the solute fluctuations and its macroscopic dielectric constant
(s) clarified. (C) 1999 Elsevier Science B.V. All rights reserved.