In search of new potent α-glucosidase inhibitors: molecular docking and ADMET prediction
Abstract
Diabetes mellitus has become one of the most problematic diseases in the world. Thus, the identification of new drugs for diabetes mellitus is an important requirement. In this study, we have selected a dataset of twelve 1,2,3-triazole derivatives previously synthetized by Gonzaga et al and has been studied for α-glucosidase inhibitory activity. The twelve selected molecules were undergone to molecular docking simulation and in silico ADMET prediction. Molecular docking outcomes demonstrated that all 1,2,3-triazole derivatives interacted well in the active pocket of α-glucosidase receptor (PDB: 5NN8). Most of the 12 triazole derivatives exhibited a conventional hydrogen bond interaction with amino acid residue Ser924 and/or pi-alkyl interaction with amino acid residue Val 923 and also formed a carbon hydrogen bond interaction with amino acid residue Asn925. Docking outcomes revealed that the molecules N° 1, 3, 6 and 10 have more types and number of interactions and exhibited high binding energy value, thus, they have high stability in the active pocket of 5NN8 receptor. Moreover, the 12 studied molecules and Miglitol, used as reference drug, were further subjected to in silico ADMET prediction. The results showed that the triazole derivatives: M1, M3, M6 and M10 have high absorption, permeation, good metabolism, found to be no toxic and they were in excellent accordance with the most important rules of drug likeness e.g. Lipinski, Ghose, Viber, Egan and Muegge compared to Miglitol. These findings suggest that the triazole derivatives M1, M3, M6 and M10 can be adopted as potential new candidates for the treatment of diabetes mellitus.