Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/9351
Title: A chemometric approach for prediction of antifungal activity of some benzoxazole derivatives against Candida albicans
Authors: Podunavac-Kuzmanović, Sanja 
Jevrić, Lidija 
Kovačević, Strahinja 
Kalajdžija, Nataša
Issue Date: 1-Dec-2012
Publisher: Novi Sad: University of Novi Sad, Faculty of Technology, Novi Sad
Journal: Acta Periodica Technologica
Abstract: The purpose of the article is to promote and facilitate prediction of antifungal activity of the investigated series of benzoxazoles against Candida albicans. The clinical importance of this investigation is to simplify design of new antifungal agents against the fungi which can cause serious illnesses in humans. Quantitative structure activity relationship analysis was applied on nineteen benzoxazole derivatives. A multiple linear regression (MLR) procedure was used to model the relationships between the molecular descriptors and the antifungal activity of benzoxazole derivatives. Two mathematical models have been developed as a calibration models for predicting the inhibitory activity of this class of compounds against Candida albicans. The quality of the models was validated by the leave-one- out technique, as well as by the calculation of statistical parameters for the established model.
URI: https://open.uns.ac.rs/handle/123456789/9351
ISSN: 14507188
DOI: 10.2298/APT1243273P
Appears in Collections:TF Publikacije/Publications

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