QSAR analysis of hypoglycemic agents using the topological indices

The molecular topology model and discriminant analysis have been applied to the prediction of some pharmacological properties of hypoglycemic drugs us ing multiple regression equations with their statistical parameters. Regres sion analysis showed that the molecular topology model predicts these prope rties. The corresponding stability (cross-validation) studies performed on the selected prediction models confirmed the goodness of the fits. The meth od used for hypoglycemic activity selection was a linear discriminant analy sis (LDA). We make use of the pharmacological distribution diagrams (PDDs) as a visualizing technique for the identification and selection of new hypo glycemic agents, and we tested on rats the predictive ability of the model.