A QSAR STUDY OF ANTIPLATELET AGENTS USING ARTIFICIAL NEURAL-NETWORK CORRELATION WITH MICELLE-WATER PARTITION-COEFFICIENT

Authors
GHOSHAL N ACHARI B GHOSHAL TK
Citation
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
Citations number
9
Categorie Soggetti
Chemistry Inorganic & Nuclear","Chemistry Medicinal
Journal title
Bioorganic & medicinal chemistry letters → ACNP
ISSN journal
0960894X
Volume
7
Issue
7
Year of publication
1997
Pages
877 - 880
Database
ISI
SICI code
0960-894X(1997)7:7<877:AQSOAA>2.0.ZU;2-M
Abstract
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.