title: QSRR Analysis in Characterization of Some Benzimidazole Derivatives.
abstract: In this paper, quantitative structure-retention relationship study has been applied in order to correlate obtained retention parameter R(M)(0) and two groups of molecular descriptors, for eleven investigated benzimidazole derivatives. Principal component analysis (PCA), followed by hierarchical cluster analysis (HCA) and multiple linear regression (MLR), was applied in order to identify the most important molecular descriptors. Mathematical models were established and the best models were further validated by leave-on-out (LOO) technique as well as by the calculation of the statistical parameters. Statistically significant models were established.
authors.forename: Milica
authors.initials: M
authors.lastname: Karadžić
authors.forename: Sanja
authors.initials: S
authors.lastname: Podunavac-Kuzmanović
authors.forename: Lidija
authors.initials: L
authors.lastname: Jevrić
authors.forename: Strahinja
authors.initials: S
authors.lastname: Kovačević
mesh_terms: D001562:Benzimidazoles / Q000737:chemistry*; D016000:Cluster Analysis; D016014:Linear Models; D008958:Models, Molecular; D008962:Models, Theoretical; D025341:Principal Component Analysis
chemical_list: D001562:Benzimidazoles