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2D-QSAR Study of Indolylpyrimidines Derivative as Antibacterial against Pseudomonas aeruginosa and Staphylococcus aureus: A Comparative Approach
Author(s) -
Prasanna A. Datar
Publication year - 2014
Publication title -
journal of computational medicine
Language(s) - English
Resource type - Journals
eISSN - 2314-5080
pISSN - 2314-5099
DOI - 10.1155/2014/765457
Subject(s) - quantitative structure–activity relationship , pseudomonas aeruginosa , staphylococcus aureus , antibacterial activity , steric effects , chemistry , minimum inhibitory concentration , stereochemistry , computational chemistry , bacteria , biology , antimicrobial , organic chemistry , genetics
A set of 15 indolylpyrimidine derivatives with their antibacterial activities in terms of minimum inhibitory concentration against the gram-negative bacteria Pseudomonas aeruginosa and gram-positive Staphylococcus aureus were selected for 2D quantitative structure activity relationship (QSAR) analysis. QSAR was performed using a combination of various descriptors such as steric, electronic and topological. Stepwise regression method was used to derive the most significant QSAR equation for predicting the inhibitory activity of this class of molecules. The best QSAR model was further validated by a leave one out technique as well as by the random trials. A high correlation between experimental and predicted inhibitory values was observed. A comparative picture of behavior of indolylpyrimidines against both of the microorganisms is discussed

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