{"id":"W4310540339","doi":"10.1038/s41467-022-34055-5","title":"Dynamic spatiotemporal determinants modulate GPCR:G protein coupling selectivity and promiscuity","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"U.S. National Library of Medicine; National Institutes of Health; Lundbeckfonden; H. Lundbeck A/S; Novo Nordisk Fonden; National Institute of General Medical Sciences; Medical Research Council; Novo Nordisk; Canadian Institutes of Health Research; American Lebanese Syrian Associated Charities","keywords":"G protein-coupled receptor; Computational biology; Protein–protein interaction; Coupling (piping); Biology; G protein; Promiscuity; Receptor; Bioinformatics; Chemistry; Cell biology; Genetics; Materials science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001834269,0.0001497957,0.0002745656,0.0001928004,0.0002671327,0.0004473404,0.0002557437,0.000264667,0.0008617559],"category_scores_gemma":[0.0006912384,0.0001563958,0.0001801985,0.0002244074,0.000328495,0.0004330936,0.000457266,0.0003823889,0.0001001304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005000393,"about_ca_system_score_gemma":0.0003829445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001611614,"about_ca_topic_score_gemma":0.001962492,"domain_scores_codex":[0.9999025,0.00001377003,0.000007392026,0.00002258793,0.00002468619,0.00002905439],"domain_scores_gemma":[0.9998516,0.00005463946,0.00003200194,0.00001683161,0.00001318134,0.00003173879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003785754,0.0001353568,0.01614971,0.0001491825,0.00007976776,0.0003355303,0.0002497984,0.1027728,0.8651562,0.005161739,0.0002790388,0.009152277],"study_design_scores_gemma":[0.0001020009,0.0002862079,0.05180115,0.00002260955,0.00009097911,0.0004630747,0.0004640209,0.7300361,0.2109974,0.003363831,0.002310823,0.00006180214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968003,0.0001359619,0.002364768,0.00005158972,0.000003108123,0.000004699818,0.00003357203,0.00003387007,0.0005721784],"genre_scores_gemma":[0.9992732,0.00008276509,0.000555107,0.00001011354,6.119926e-7,0.000003210755,0.00002463652,0.000006332348,0.00004391335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001611614,"threshold_uncertainty_score":0.003628075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01092970892590591,"score_gpt":0.2782167107239214,"score_spread":0.2672870017980155,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}