QSAR STUDY OF ARTEMISININ (QINGHAOSU) DERIVATIVES USING NEURAL-NETWORK METHOD

Citation
Y. Tang et al., QSAR STUDY OF ARTEMISININ (QINGHAOSU) DERIVATIVES USING NEURAL-NETWORK METHOD, Indian journal of chemistry. Sect. B: organic chemistry, including medical chemistry, 35(4), 1996, pp. 325-332
Citations number
13
Categorie Soggetti
Chemistry Inorganic & Nuclear
ISSN journal
03764699
Volume
35
Issue
4
Year of publication
1996
Pages
325 - 332
Database
ISI
SICI code
0376-4699(1996)35:4<325:QSOA(D>2.0.ZU;2-L
Abstract
On the basis of the semiempirical quantum chemical calculations by Aus tin Model 1 (AM1) and Parametric Method 3 (PM3) methods, we have carri ed out quantitative structure-activity relationships (QSAR) study on 2 1 artemisinin derivatives (3) using neural network method. Using 5 qua ntum chemical indices as input parameters and antimalarial activity as output values, a QSAR model with reliably predictive capability has b een constructed from both AM1 and PM3 calculation results. According t o this model, we have suggested an oxidative mechanism of artemisinin derivatives acting on the malarial parasite and analyzed the differenc e between AM1 and PM3 methods.