DESIGN OF QUINOLONE DERIVATIVES AS POTENTIAL ANTIBACTERIAL USING MOLECULAR DESCRIPTORS
AbstractIn the present work in mathematical modeling, quantitative structure activity relationship (QSAR) studies were performed on some quinolone derivatives as a potential antibacterial agent using statistical work. The regression analysis of the data has shown that the activities of the compound can be modeled excellently in bi-parametric model.A heurisimatedtic algorithm selects the best multiple linear regression(MLR) equation showed the correlation between the observed values and the estimated values of activity is very good(R=0.9849, R2 =O.9700, PRESS=0.0185, 14Rcv2″> =0.9692, SPRESS =7.8631). The results are discussed critically.
Article Information
32
3532-3535
396KB
1003
English
IJPSR
Kumar Nandan
Department of Chemistry, T.N.B. College, T. M. Bhagalpur University, Bhagalpur- 812007, Bihar, India
kumarnandan.2008@rediffmail.com
14 April, 2013
10 June, 2013
14 August, 2013
http://dx.doi.org/10.13040/IJPSR.0975-8232.4(9).3532-35
01 September, 2013
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