Elucidation of the Binding Mode of the Carboxyterminal Region of Peptide YY to the Human Y2 Receptor.

Understanding the agonist-receptor interactions in the neuropeptide Y (NPY)/peptide YY (PYY) signaling system is fundamental for the design of novel modulators of appetite regulation. We report here the results of a multidisciplinary approach to elucidate the binding mode of the native peptide agonist PYY to the human Y2 receptor, based on computational modeling, peptide chemistry and in vitro pharmacological analyses. The preserved binding orientation proposed for full-length PYY and five analogs, truncated at the amino terminus, explains our pharmacological results where truncations of the N-terminal proline helix showed little effect on peptide affinity. This was followed by receptor mutagenesis to investigate the roles of several receptor positions suggested by the modeling. As a complement, PYY-(3-36) analogs were synthesized with modifications at different positions in the common PYY/NPY C-terminal fragment (32TRQRY36-amide). The results were assessed and interpreted by molecular dynamics and Free Energy Perturbation (FEP) simulations of selected mutants, providing a detailed map of the interactions of the PYY/NPY C-terminal fragment with the transmembrane cavity of the Y2 receptor. The amidated C-terminus would be stabilized by polar interactions with Gln2886.55 and Tyr2195.39, while Gln1303.32 contributes to interactions with Q34 in the peptide and T32 is close to the tip of TM7 in the receptor. This leaves the core, α-helix of the peptide exposed to make potential interactions with the extracellular loops. This model agrees with most experimental data available for the Y2 system and can be used as a basis for optimization of Y2 receptor agonists.

Mutagenesis and computational modeling of human G-protein-coupled receptor Y2 for neuropeptide Y and peptide YY.

Neuropeptide Y and peptide YY receptor type 2 (Y2) is involved in appetite regulation and several other physiological processes. We have investigated the structure of the human Y2 receptor. Computational modeling of receptor-agonist interactions was used as a guide to design a series of receptor mutants, followed by binding assays using full-length and truncated peptide agonists and the Y2-specific antagonist BIIE0246. Our model suggested a hydrogen bond network among highly conserved residues Thr2.61, Gln3.32, and His7.39, which could play roles in ligand binding and/or receptor structure. In addition, the C-terminus of the peptide could make contact with residues Tyr5.38 and Leu6.51. Mutagenesis of all these positions, followed by binding assays, provides experimental support for our computational model: most of the mutants for the residues forming the proposed hydrogen bond network displayed reduced peptide agonist affinities as well as reduced hPYY3-36 potency in a functional assay. The Ala and Leu mutants of Gln3.32 and His7.39 disrupted membrane expression of the receptor. Combined with the modeling, the experimental results support roles for these hydrogen bond network residues in peptide binding as well as receptor architecture. The reduced agonist affinity for mutants of Tyr5.38 and Leu6.51 supports their role in a binding pocket surrounding the invariant tyrosine at position 36 of the peptide ligands. The results for antagonist BIIE0246 suggest several differences in interactions compared to those of the peptides. Our results lead to a new structural model for NPY family receptors and peptide binding.