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Artificial neural networks applied to the quantitative structure—activity relationship study of dihydropteridine reductase inhibitors

✍ Scribed by Xin-Hua Song; Ru-Qin Yu


Publisher
Elsevier Science
Year
1993
Tongue
English
Weight
941 KB
Volume
19
Category
Article
ISSN
0169-7439

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Self-organizing Kohonen neural networks can be used to obtain quantitative structure-activity relationships. Simple molecules have been selected to discuss the essential features of the transformation. Descriptors calculated from maps obtained from comparative studies with template molecules applied