QSAR STUDY OF XANTHONE DERIVATIVES AS ANTI PLASMODIAL AGENTS
Author(s) -
Amanatie Amanatie,
Jumina Jumina,
Mustofa Mustofa,
Muhamad Hanafi,
Ria Armunanto
Publication year - 2010
Publication title -
indonesian journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.273
H-Index - 14
eISSN - 2460-1578
pISSN - 1411-9420
DOI - 10.22146/ijc.21443
Subject(s) - chemistry , quantitative structure–activity relationship , xanthone , stereochemistry , linear regression , combinatorial chemistry , machine learning , computer science
Xanthones and their derivatives have been reported to exhibit inhibitory activities towards Plasmodium falciparum. To provide deep insight into the correlation between inhibitory activities and structures of xanthones, linear regression method was employed to establish QSAR models for 16 xanthone derivatives that have diverse structures. The accuracy and predictive power of the proposed QSAR model were verified by semi empirical PM3 method, optimation, and validation. The result showed that the best model is model 3 i.e. Log 1/IC50 = Σ (-1.446)qO(7)+ (-8.775)q.C(12) + (-10.592)qC(13) + 1,979; Y = PRESS = 1.124192.
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