QUANTITATIVE ELECTRONIC STRUCTURE - ACTIVITY RELATIONSHIP OF ANTIMALARIAL COMPOUND OF ARTEMISININ DERIVATIVES USING PRINCIPAL COMPONENT REGRESSION APPROACH

https://doi.org/10.22146/ijc.21597

Paul Robert Martin Werfette(1), Ria Armunanto(2), Iqmal Tahir(3*)

(1) Austrian-Indonesian Centre for Computational Chemistry, Chemistry Department Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Sekip Utara, Yogyakarta 55281
(2) Austrian-Indonesian Centre for Computational Chemistry, Chemistry Department Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Sekip Utara, Yogyakarta 55281
(3) Austrian-Indonesian Centre for Computational Chemistry, Chemistry Department Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Sekip Utara, Yogyakarta 55281
(*) Corresponding Author

Abstract


Analysis of quantitative structure - activity relationship (QSAR) for a series of antimalarial compound artemisinin derivatives has been done using principal component regression. The descriptors for QSAR study were representation of electronic structure i.e. atomic net charges of the artemisinin skeleton calculated by AM1 semi-empirical method. The antimalarial activity of the compound was expressed in log 1/IC50 which is an experimental data. The main purpose of the principal component analysis approach is to transform a large data set of atomic net charges to simplify into a data set which known as latent variables. The best QSAR equation to analyze of log 1/IC50 can be obtained from the regression methodas a linear function of several latent variables i.e. x1, x2, x3, x4 and x5. The best QSAR model isexpressed in the following equation,

 (;;)

 

Keywords: QSAR, antimalarial, artemisinin, principal component regression

Full Text:

Full Text Pdf



DOI: https://doi.org/10.22146/ijc.21597

Article Metrics

Abstract views : 290 | views : 271


Copyright (c) 2010 Indonesian Journal of Chemistry

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

 


Indonesian Journal of Chemisty (ISSN 1411-9420 / 2460-1578) - Chemistry Department, Universitas Gadjah Mada, Indonesia.

Web
Analytics View The Statistics of Indones. J. Chem.