Mechanistic insight into the interactions between thiazolidinedione derivatives and PTP-1B combining 3D QSAR and molecular docking in the treatment of type 2 diabetes

Abstract

Abstract Protein tyrosine phosphatases (PTP) regulate various cellular processes and represent important targets for therapeutic intervention in various diseases. Studies have shown that partial or total cessation of the PTP-1B gene in normal and diabetic mice has led to resistance to weight gain and improved insulin response. Also, a further study showed that inhibition of PTP-1B or a reduction in its cellular abundance in mice resulted in similar effects and, as such, provided a rationale for the treatment strategy for type 2 diabetes. Thiazolidinedione (TZD) derivatives have been identified as new PTP-1B inhibitors but the mechanism of interaction between TZD derivatives and PTP-1B is still elusive. In this study, a three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis was performed, including multiple linear regression (MLR) and cross-validation, on a set of TZD derivatives as antidiabetic agents. MLR analysis was performed on 23 PTP-1B TZD derivatives to determine the relationships between physicochemical properties and antidiabetic properties of TZD derivatives. The training data set creates a QSAR model with a correlation coefficient (R 2) of 0.8516, a Q 2 (Leave-One-Out) cross-validation factor of 0.6473, r 2 (correlation coefficient) for the external dataset is 0.8367 while r 2 of predicted dataset is 0.8934 by the MLR Method. The MLR model was also validated by the standardization approach. We observed a high correlation between predicted and observed activity (experimental values), thus confirming and proving the high quality of QSAR models. Finally, molecular docking analysis was performed to better understand the interactions between the PTP-1B target and TZD derivatives. The model proposed in this project can be used to design new TZD derivatives with specific PTP-1B inhibitory activity.