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Title Qsar modeling studies on 2,4-thiazolidinediones as potential α-glucosidase inhibitors
Authors Ch. Prasad, Bhavani Boddeda, S. Kottiah and A. Vasudeva Rao
Description A linear quantitative structure-activity relationship (QSAR) model is presented for modeling and predicting the α- glucosidase inhibitory activity. The model was produced by using the multiple linear regression (MLR) technique on a twenty one compound database that consists of newly discovered 2,4-thiazolidinediones. The major conclusion of this study is that molecular weight, wiener index, andrews affinity and polar surface area affect significantly the α- glucosidase inhibitory activity by 2,4-thiazolidinediones. The selected QSAR descriptors serve as a primary guidance for the design of novel and selective α-glucosidase inhibitors.

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