Similarity searches based on chemical descriptors have proven extremely use
ful in aiding large-scale drug screening. Typically an investigator starts
with a "probe", a drug-like molecule with an interesting biological activit
y, and searches a database to find similar compounds. In some projects, how
ever, the only known actives are peptides, and the investigator needs to id
entify drug-like actives. 3D similarity methods are able to help in this en
deavor but suffer from the necessity of having to specify the active confor
mation of the probe, something that is not always possible at the beginning
of a project. Also, 3D methods are slow and are complicated by the need to
generate low-energy conformations. In contrast, topological methods are re
latively rapid and do not depend on conformation. However, unmodified topol
ogical similarity methods, given a peptide probe, will preferentially selec
t other peptides from a database. In this paper we show some simple protoco
ls that, if used with a standard topological similarity search method, are
sufficient to select nonpeptide actives given a peptide probe. We demonstra
te these protocols by using 10 peptide-like probes to select appropriate no
npeptide actives from the MDDR database.