Drug Res (Stuttg) 2015; 65(05): 225-230
DOI: 10.1055/s-0034-1371828
Original Article
© Georg Thieme Verlag KG Stuttgart · New York

Development of QSAR for Antimicrobial Activity of Substituted Benzimidazoles

N. Vashist
1   University School of Chemical Technology, Guru Gobind Singh Indraprastha University, New Delhi, India
,
S. S. Sambi
1   University School of Chemical Technology, Guru Gobind Singh Indraprastha University, New Delhi, India
,
P. Kumar
2   Faculty of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, India
,
B. Narasimhan
2   Faculty of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, India
› Author Affiliations
Further Information

Publication History

received 30 October 2013

accepted 07 November 2013

Publication Date:
21 January 2015 (online)

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Abstract

QSAR analysis has been done to correlate antimicrobial activity of substituted benzimidazole derivatives with their physicochemical parameters. Developed QSAR models have been cross validated using leave one out (LOO) method. Statistical parameters like probable error of the coefficient of correlation (PE), least square error (LSE), Friedman’s lack of fit measure (LOF), standard error of prediction (SEP) and quality value (Q) were also used to cross validate the models. QSAR studies established the importance of WAP, Mlog P and UI in describing the antimicrobial activities of substituted benzimidazole derivatives.