N. Ghoshal et al., A QSAR STUDY OF ANTIPLATELET AGENTS USING ARTIFICIAL NEURAL-NETWORK CORRELATION WITH MICELLE-WATER PARTITION-COEFFICIENT, Bioorganic & medicinal chemistry letters, 7(7), 1997, pp. 877-880
Antiplatelet activity ex vivo data reported for 2-substituted phenyl-
and benzimidazolyl-5-methyl-4-(3-pyridyl) imidazoles have been analyse
d using BP type ANN. Using micelle-water partition coefficient as an i
ndependent descriptor, a network system (1-3-1) produced very good dup
lication of observed activities (r=0.860, SD=0.183, n=21) in the train
ing cycle. The results provide an improved model for prediction of ant
iplatelet activity. (C) 1997 Elsevier Science Ltd.