| Literature DB >> 27992882 |
Tony Ngo1,2, Andrey V Ilatovskiy3, Alastair G Stewart2,4, James L J Coleman1,2, Fiona M McRobb3, R Peter Riek1, Robert M Graham1,2, Ruben Abagyan3, Irina Kufareva3, Nicola J Smith1,2.
Abstract
Understanding the pharmacological similarity of G protein-coupled receptors (GPCRs) is paramount for predicting ligand off-target effects, drug repurposing, and ligand discovery for orphan receptors. Phylogenetic relationships do not always correctly capture pharmacological similarity. Previous family-wide attempts to define pharmacological relationships were based on three-dimensional structures and/or known receptor-ligand pairings, both unavailable for orphan GPCRs. Here, we present GPCR-CoINPocket, a novel contact-informed neighboring pocket metric of GPCR binding-site similarity that is informed by patterns of ligand-residue interactions observed in crystallographically characterized GPCRs. GPCR-CoINPocket is applicable to receptors with unknown structure or ligands and accurately captures known pharmacological relationships between GPCRs, even those undetected by phylogeny. When applied to orphan receptor GPR37L1, GPCR-CoINPocket identified its pharmacological neighbors, and transfer of their pharmacology aided in discovery of the first surrogate ligands for this orphan with a 30% success rate. Although primarily designed for GPCRs, the method is easily transferable to other protein families.Entities:
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Year: 2016 PMID: 27992882 PMCID: PMC5247308 DOI: 10.1038/nchembio.2266
Source DB: PubMed Journal: Nat Chem Biol ISSN: 1552-4450 Impact factor: 15.040