The rapid and accurate prediction of binding affinities of protein ligands
to their receptors is the most challenging problem of structure-based drug
design. Recent approaches to the prediction of binding affinities by means
of empirical scoring functions are reviewed together with applications that
offer insight into the quality of current methods. Possible directions for
future research in this area are outlined.