{"id":"W3199062690","doi":"10.1021/acsptsci.1c00019","title":"Comprehensive Signaling Profiles Reveal Unsuspected Functional Selectivity of δ-Opioid Receptor Agonists and Allow the Identification of Ligands with the Greatest Potential for Inducing Cyclase Superactivation","year":2021,"lang":"en","type":"article","venue":"ACS Pharmacology & Translational Science","topic":"Neuropeptides and Animal Physiology","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Research in Immunology and Cancer; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Adenylyl cyclase; Chemistry; G protein-coupled receptor; Opioid; Agonist; Signal transduction; Functional selectivity; Receptor; μ-opioid receptor; G protein; Enkephalin; Pharmacology; Cell biology; Internal medicine; Biochemistry; Biology; Medicine","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":[0.0001488584,0.0003472304,0.0002816144,0.0005513321,0.0002312181,0.0004266336,0.000149718,0.0002234266,0.002313591],"category_scores_gemma":[0.0001770678,0.0001060378,0.0002582126,0.0003645049,0.0001660022,0.000321458,0.0001341133,0.0005377805,0.0007399773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002789597,"about_ca_system_score_gemma":0.0002674565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006339221,"about_ca_topic_score_gemma":0.001482255,"domain_scores_codex":[0.9998559,0.00001020762,0.0000103443,0.00003360138,0.00003912005,0.00005085525],"domain_scores_gemma":[0.9998994,0.00002585213,0.00001942412,0.00001207118,0.00002056286,0.00002265226],"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":[0.00008869245,0.00001034163,0.0005087679,0.00003021395,0.000006042099,0.00002578222,0.00001096272,0.00005905819,0.9960187,0.0001735651,0.00003573558,0.003032134],"study_design_scores_gemma":[0.00001112225,0.0002883122,0.03841839,0.00001928279,0.00007235325,0.0007700344,0.0001202881,0.00179797,0.9544167,0.0007102927,0.003351811,0.00002335818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987168,0.001764659,0.005277127,0.0001383064,0.00001578205,0.00002267843,0.002879619,0.00009631695,0.002637585],"genre_scores_gemma":[0.9880502,0.002198549,0.003845774,0.0001589751,0.00001024113,0.00005307942,0.003391748,0.00003290249,0.002258578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002313591,"threshold_uncertainty_score":0.007739723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02933514938580879,"score_gpt":0.2840455182906172,"score_spread":0.2547103689048084,"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."}}