title: Discrimination and molecular design of new theoretical hypolipaemic agents using the molecular connectivity functions
abstract: The molecular topology model and discriminant analysis have been applied to the prediction and QSAR interpretation of some pharmacological properties of hypolipaemic drugs using multivariable regression equations with their statistical parameters. Regression analysis showed that the molecular topology model predicts these properties. The corresponding stability (cross-validation) studies done on the selected prediction models confirmed the goodness of the fits. The method used for hypolipaemic activity selection was a linear discriminant analysis (LDA). We make use of the pharmacological distribution diagrams (PDDs) as a visualizing technique for the identification and design of new hypolipaemic agents.
authors.affiliation: Department of Physical Chemistry, Faculty of Pharmacy, Universitat de Valencia, Spain.
authors.initials: RA
authors.lastname: Cercos-del-Pozo
authors.initials: F
authors.lastname: Perez-Gimenez
authors.initials: MT
authors.lastname: Salabert-Salvador
authors.initials: FJ
authors.lastname: Garcia-March