Increasing the rate at which new biologically active compounds are fou
nd is a major goal in pharmaceutical chemistry. Recently, several comp
utational methods have been proposed with this intent. For some time,
algorithms have been used to direct ligand evolution on the basis of c
omplementarity to the three-dimensional structure of a selected protei
n. Current research focuses on enhancements to methods for searching c
hemical databases, proposing sensible modifications to known active co
mpounds, and construction of novel ligands from theoretical principles
.