In this review we present algorithms for classification and taxonomy based on information entropy, followed
by structure-activity relationship (SAR) models for the inhibition of human prostate carcinoma cell line DU-145 by 26
derivatives of N-aryl-N-(3-aryl-1,2,4-oxadiazol-5-yl)amines (NNAs). The NNAs are classified using two characteristic
chemical properties based on different regions of the molecules. A table of periodic properties of inhibitors of DU-145
human prostate carcinoma cell line is obtained based on structural features from the amine moiety and from the
oxadiazole ring. Inhibitors in the same group and period of the periodic table are predicted to have highly similar
properties, and those located only in the same group will present moderate similarity. The results of a virtual screening
campaign are presented.