QSAR Studies on Some Sulfonamides as Antidiabetic Agents

Abstract

The need for antidiabetic agents is growing day by day in pharmaceutical industry to find novel, potent and more specialized class of medicine. To address the need we have evaluated a set of sulphonamide drugs for their potential to fight against diabetes. In the present study antidiabetic activity of 47 sulfonamide derivatives have been modeled using topological descriptors. The activity in terms of pKi have been modeled using descriptors calculated from Dragon software. The best model having R2 value 0.9897 have been reported after deleting two outliers. The model was tested using Cross validated method. The R2cv value for the reported five-parametric model comes out to be 0.9896. The model has also been tested for collinearity or defect of Chance. It has been established that the model is free from any defect. The author suggests the testing of these compound for in vivo studies to specify the other pharmacological significance and therapeutic potential for future use.