title: Prediction of interfaces for oligomerizations of G-protein coupled receptors.
abstract: Several lines of biochemical and pharmacological evidence have suggested that some G-protein-coupled receptors (GPCRs) form homo oligomers, hetero oligomers or both. The GPCRs oligomerizations are considered to be related to signal transduction and some diseases. Therefore, an accurate prediction of the residues that interact upon oligomerization interface would further our understanding of signal transduction and the diseases in which GPCRs are involved. One of the complications for such a prediction is that the interfaces differ with the subtypes, even within the same GPCR family. Focusing on the distribution of residues conserved on the molecular surface in a particular subtype, we developed a new method to predict the interface for the GPCR oligomers, and applied it to several subtypes of known GPCRs to check the sensitivity. Subsequently, we found that predicted interfaces of rhodopsin, D(2) dopamine receptor and beta(2) adrenergic receptor agreed with the experimentally suggested interfaces, despite difference in the interface region among the three subtypes. Moreover, a highly conserved residue detected from the D(2) dopamine receptor corresponded to a residue involved in a missense change found in the large family of myoclonus dystonia. Our observation suggests the possibility that the disease is caused by the disorder of the oligomerization, although the molecular mechanism of the disease has not been revealed yet. The benefits and the pitfalls of the new method will be discussed, based on the results of the applications.
authors.affiliation: Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma, Nara 630-0101, Japan. wane@kuicr.kyoto-u.ac.jp <wane@kuicr.kyoto-u.ac.jp>
authors.forename: Wataru
authors.initials: W
authors.lastname: Nemoto
authors.forename: Hiroyuki
authors.initials: H
authors.lastname: Toh
mesh_terms: D000465:Algorithms; D000818:Animals; D002417:Cattle; D019295:Computational Biology / Q000379:methods*; D017124:Conserved Sequence; D019204:GTP-Binding Proteins / Q000737:chemistry; D006801:Humans; D051379:Mice; D008958:Models, Molecular; D015233:Models, Statistical; D020125:Mutation, Missense; D010802:Phylogeny; D025341:Principal Component Analysis; D011487:Protein Conformation; D040901:Proteomics / Q000379:methods*; D018343:Receptors, Adrenergic, beta-2 / Q000737:chemistry; D011956:Receptors, Cell Surface / Q000737:chemistry; D011954:Receptors, Dopamine / Q000737:chemistry; D017448:Receptors, Dopamine D2 / Q000737:chemistry; D043562:Receptors, G-Protein-Coupled / Q000737:chemistry*; D012243:Rhodopsin / Q000737:chemistry; D017299:Rod Opsins / Q000737:chemistry; D015398:Signal Transduction
chemical_list: D018343:Receptors, Adrenergic, beta-2; D011956:Receptors, Cell Surface; D011954:Receptors, Dopamine; D017448:Receptors, Dopamine D2; D043562:Receptors, G-Protein-Coupled; D017299:Rod Opsins; D012243:Rhodopsin; D019204:GTP-Binding Proteins