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Int. J. Mol. Sci. 2008, 9(12), 2407-2423; doi:10.3390/ijms9122407

QSAR Study of Antimicrobial 3-Hydroxypyridine-4-one and 3-Hydroxypyran-4-one Derivatives Using Different Chemometric Tools

Department of Medicinal Chemistry, Faculty of Pharmacy, Isfahan University of Medical Sciences, 81746-73461, Isfahan, Iran
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Author to whom correspondence should be addressed.
Received: 23 September 2008 / Revised: 18 October 2008 / Accepted: 24 November 2008 / Published: 2 December 2008
(This article belongs to the Section Physical Chemistry, Theoretical and Computational Chemistry)
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Abstract

A series of 3-hydroxypyridine-4-one and 3-hydroxypyran-4-one derivatives were subjected to quantitative structure-antimicrobial activity relationships (QSAR) analysis. A collection of chemometrics methods, including factor analysis-based multiple linear regression (FA-MLR), principal component regression (PCR) and partial least squares combined with genetic algorithm for variable selection (GA-PLS) were employed to make connections between structural parameters and antimicrobial activity. The results revealed the significant role of topological parameters in the antimicrobial activity of the studied compounds against S. aureus and C. albicans. The most significant QSAR model, obtained by GA-PLS, could explain and predict 96% and 91% of variances in the pIC50 data (compounds tested against S. aureus) and predict 91% and 87% of variances in the pIC50 data (compounds tested against C. albicans), respectively. View Full-Text
Keywords: 3-Hydroxypyridine-4-one; 3-hydroxypyran-4-one; QSAR; Chemometrics 3-Hydroxypyridine-4-one; 3-hydroxypyran-4-one; QSAR; Chemometrics
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Sabet, R.; Fassihi, A. QSAR Study of Antimicrobial 3-Hydroxypyridine-4-one and 3-Hydroxypyran-4-one Derivatives Using Different Chemometric Tools. Int. J. Mol. Sci. 2008, 9, 2407-2423.

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