Application of multiple linear regression analysis to predict antifungal activity of some benzimidazole derivatives using ADME parameters | Zendy

Nataša Kalajdžija | Zendy; Sanja Podunavac-Kuzmаnоvić | Zendy; Dragoljub Cvetković | Zendy; Lidija R. Jevrić | Zendy; Strаhinjа Kоvаčеvić | Zendy

Open Access

Application of multiple linear regression analysis to predict antifungal activity of some benzimidazole derivatives using ADME parameters

Author(s) -

Nataša Kalajdžija,

Sanja Podunavac-Kuzmаnоvić,

Dragoljub Cvetković,

Lidija R. Jevrić,

Strаhinjа Kоvаčеvić

Publication year - 2013

Publication title -

acta periodica technologica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.134

H-Index - 15

eISSN - 2406-095X

pISSN - 1450-7188

DOI - 10.2298/apt1344239k

Subject(s) - adme , benzimidazole , antifungal , linear regression , quantitative structure–activity relationship , chemistry , distribution (mathematics) , pharmacology , mathematics , biochemistry , statistics , stereochemistry , biology , organic chemistry , in vitro , microbiology and biotechnology , mathematical analysis

In this study we were investigated the relationship between the antifungal activity of some benzimidazole derivatives and some absorption, distribution, metabolism and excretion (ADME) parameters. The antifungal activity of studied compounds against Saccharomyces cerevisiae was expressed as the minimal inhibitory concentration (MIC). A statistically significant quantitative structure-activity relationship (QSAR) model for predicting antifungal activity of the investigated benzimidazole derivatives against Saccharomyces cerevisiae was obtained by multiple linear regression (MLR) using ADME parameters. The quality of the MLR model was validated by the leave-one-out (LOO) technique, as well as by the calculation of the statistical parameters for the developed model, and the results are discussed based on the statistical data. [Projekat Ministarstva nauke Republike Srbije, br. 172012 i br. 172014

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