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Record W2602591433 · doi:10.15252/msb.20167430

Systematic protein–protein interaction mapping for clinically relevant human GPCRs

2017· article· en· W2602591433 on OpenAlexafffund
Kate Sokolina, Saranya Kittanakom, Jamie Snider, Max Kotlyar, Pascal Maurice, Jorge Gandía, Abla Benleulmi‐Chaachoua, Kenjiro Tadagaki, Atsuro Oishi, Victoria Wong, Ramy Malty, Viktor Deineko, Hiroyuki Aoki, Shahreen Amin, Zhong Yao, Xavier Morató, David Otasek, Hiroyuki Kobayashi, Javier Menéndez, Daniel Auerbach, Stéphane Angers, Nataša Pržulj, Michel Bouvier, Mohan Babu, Francisco Ciruela, Ralf Jockers, Igor Jurišica, Igor Štagljar

Bibliographic record

VenueMolecular Systems Biology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsUniversité de MontréalUniversity of ReginaPrincess Margaret Cancer CentrePublic Health OntarioInstitute for Research in Immunology and CancerUniversity Health NetworkUniversity of Toronto
FundersH2020 European Research CouncilInstituto de Salud Carlos IIINatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversité Paris DescartesMinistarstvo Prosvete, Nauke i Tehnološkog RazvojaAmerican Roentgen Ray SocietyMinisterio de Economía y CompetitividadGeneralitat de CatalunyaInstitut National de la Santé et de la Recherche MédicaleAgence Nationale de la RechercheInternational Business Machines CorporationInstitució Catalana de Recerca i Estudis AvançatsSaskatchewan Health Research FoundationCanadian Institutes of Health ResearchFonds Wetenschappelijk OnderzoekCanada Foundation for InnovationOntario Genomics InstituteFondation pour la Recherche MédicaleCanadian Cancer SocietyUniversity Health NetworkCystic Fibrosis CanadaNational Science FoundationFundació la Marató de TV3Association pour la Recherche sur le Cancer
KeywordsInteractomeG protein-coupled receptorBiologyDruggabilityComputational biologyProteomicsMembrane proteinIntegral membrane proteinProtein–protein interactionSignal transductionCell biologyBiochemistryMembrane

Abstract

fetched live from OpenAlex

G-protein-coupled receptors (GPCRs) are the largest family of integral membrane receptors with key roles in regulating signaling pathways targeted by therapeutics, but are difficult to study using existing proteomics technologies due to their complex biochemical features. To obtain a global view of GPCR-mediated signaling and to identify novel components of their pathways, we used a modified membrane yeast two-hybrid (MYTH) approach and identified interacting partners for 48 selected full-length human ligand-unoccupied GPCRs in their native membrane environment. The resulting GPCR interactome connects 686 proteins by 987 unique interactions, including 299 membrane proteins involved in a diverse range of cellular functions. To demonstrate the biological relevance of the GPCR interactome, we validated novel interactions of the GPR37, serotonin 5-HT4d, and adenosine ADORA2A receptors. Our data represent the first large-scale interactome mapping for human GPCRs and provide a valuable resource for the analysis of signaling pathways involving this druggable family of integral membrane proteins.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.320
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations70
Published2017
Admission routes2
Has abstractyes

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