QSAR already plays an important role in lead structure optimization an
d it can be predicted that QSAR methods will become essential for hand
ling the huge amount of data associated with combinatorial chemistry.
3D QSAR has already been successfully applied to many data sets of enz
yme and receptor ligands. The theory and methodology of these approach
es were outlined in Part 1 of this article, published in the November
issue. In the second part of this two-part review, the author explains
the applications of these methods and addresses the associated proble
ms.