Diabetes mellitus is chronic disorder having high rate of mortality. The currently available antidiabetic drugs target either insulin resistance (metformin, glitazones) or insulin deficiency (sulfonylurea, glinides) but leading to shortfalls in medication. Dipeptidyl peptidase-4 is promising target for development of novel antidiabetic agents. The current advances in computational chemistry and bioinformatics the discovery of selective and safer drugs can be carried out in shorter time frame and with reduced cost. This research article focuses on integration of pocket modelling and pharmacophore modelling to develop the potential DPP-4 inhibitors with good binding affinity and selectivity.
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