👤 Anil Saran

Glucose-dependent insulinotropic polypeptide (GIP), a gut peptide released in response to food intake brings about secretion of insulin in a glucose-dependent manner upon binding to its receptor, GIPR. GIP-GIPR has emerged as a new vista for anti-diabetic drug discovery and their interaction is being probed at the atomic level to aid rational drug design. In order to probe this interaction on cells, the current study attempts towards expressing Show less

Glucose-dependent insulinotropic polypeptide (gastric inhibitory polypeptide, or GIP), a 42-amino acid incretin hormone, modulates insulin secretion in a glucose-concentration-dependent manner. Its insulinotropic action is highly dependent on glucose concentration that surmounts the hypoglycemia side effects associated with current therapy. In order to develop a GIP-based anti-diabetic therapy, it is essential to establish the 3D structure of the peptide and study its interaction with the GIP receptor (GIPR) in detail. This will give an insight into the GIP-mediated insulin release process. In this article, we report the solution structure of GIP(1-42, human)NH(2) deduced by NMR and the interaction of the peptide with the N-terminus of GIPR using molecular modelling methods. The structure of GIP(1-42, human)NH(2) in H(2)O has been investigated using 2D-NMR (DQF-COSY, TOCSY, NOESY, (1)H-(13)C HSQC) experiments, and its conformation was built by constrained MD simulations with the NMR data as constraints. The peptide in H(2)O exhibits an alpha-helical structure between residues Ser8 and Asn39 with some discontinuity at residues Gln29 to Asp35; the helix is bent at Gln29. This bent gives the peptide an 'L' shape that becomes more pronounced upon binding to the receptor. The interaction of GIP with the N-terminus of GIPR was modelled by allowing GIP to interact with the N-terminus of GIPR under a series of decreasing constraints in a molecular dynamics simulation, culminating with energy minimization without application of any constraints on the system. The canonical ensemble obtained from the simulation was subjected to a detailed energy analysis to identify the peptide-protein interaction patterns at the individual residue level. These interaction energies shed some light on the binding of GIP with the GIPR N-terminus in a quantitative manner. Show less