SELF-ORGANIZATION NEURAL TREE APPLIED TO STRUCTURE-ACTIVITY RELATIONSHIP OF 3-METHYLFENTANYL DERIVATIVES

Citation
Jh. Fang et al., SELF-ORGANIZATION NEURAL TREE APPLIED TO STRUCTURE-ACTIVITY RELATIONSHIP OF 3-METHYLFENTANYL DERIVATIVES, Gaodeng xuexiao huaxue xuebao, 17(8), 1996, pp. 1280-1284
Citations number
9
Categorie Soggetti
Chemistry
ISSN journal
02510790
Volume
17
Issue
8
Year of publication
1996
Pages
1280 - 1284
Database
ISI
SICI code
0251-0790(1996)17:8<1280:SNTATS>2.0.ZU;2-X
Abstract
In this paper, the non-linear relationship between the characteristic parameters and analgesic activities of a series of 3-methylfentanyl de rivatives was calculated by self-organization neural tree model, The r esults show that the performance of the self-organization neural tree is quite good and the successful classification rare is high, Therefor e, we can expect that this model might be used as an effective assista nt technique for the investigation of structure-activity relationship of drugs.