title: Development of QSAR for antimicrobial activity of substituted benzimidazoles.
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.
authors.affiliation: University School of Chemical Technology, Guru Gobind Singh Indraprastha University, New Delhi, India.
authors.forename: N
authors.initials: N
authors.lastname: Vashist
authors.affiliation: University School of Chemical Technology, Guru Gobind Singh Indraprastha University, New Delhi, India.
authors.forename: S S
authors.initials: SS
authors.lastname: Sambi
authors.affiliation: Faculty of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, India.
authors.forename: P
authors.initials: P
authors.lastname: Kumar
authors.affiliation: Faculty of Pharmaceutical Sciences, Maharshi Dayanand University, Rohtak, India.
authors.forename: B
authors.initials: B
authors.lastname: Narasimhan
mesh_terms: D000890:Anti-Infective Agents / Q000494:pharmacology*; D001562:Benzimidazoles / Q000494:pharmacology*; D008826:Microbial Sensitivity Tests / Q000706:statistics & numerical data*; D015233:Models, Statistical; D021281:Quantitative Structure-Activity Relationship
chemical_list: D000890:Anti-Infective Agents; D001562:Benzimidazoles