{"id":"W2011287700","doi":"10.1371/journal.pone.0067608","title":"MOR Is Not Enough: Identification of Novel mu-Opioid Receptor Interacting Proteins Using Traditional and Modified Membrane Yeast Two-Hybrid Screens","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Institutes of Health Research; Pennsylvania State University; University of Pennsylvania; National Institute on Drug Abuse; Penn State College of Medicine; Pennsylvania Department of Health; Heart and Stroke Foundation of Canada","keywords":"μ-opioid receptor; Opioid; Opioid receptor; Receptor; Agonist; DAMGO; G protein-coupled receptor; HEK 293 cells; Cell biology; Pharmacology; δ-opioid receptor; Chemistry; Signal transduction; Biology; Neuroscience; Biochemistry","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":[0.000645969,0.001087684,0.0008794708,0.0008630682,0.0003809896,0.0008864871,0.0009549496,0.0007262782,0.001601809],"category_scores_gemma":[0.0004831176,0.000362987,0.0008840414,0.0009576018,0.0004138831,0.0003872727,0.0008577454,0.001083472,0.0006781129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006026366,"about_ca_system_score_gemma":0.0002496423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006610404,"about_ca_topic_score_gemma":0.001432438,"domain_scores_codex":[0.9994804,0.000081477,0.00005754692,0.0000896118,0.0002209012,0.00007004124],"domain_scores_gemma":[0.9996448,0.0001463789,0.00009578036,0.00002910103,0.00003747587,0.00004650136],"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":[0.0003693185,0.0001038158,0.00100667,0.0001686636,0.00009740012,0.0006948084,0.00005632246,0.0004594589,0.9917761,0.0003568635,0.0002243533,0.004686067],"study_design_scores_gemma":[0.0001258092,0.0008211006,0.01551875,0.00003523959,0.0004559469,0.005276769,0.0003469886,0.01160487,0.9508576,0.0004456464,0.01442123,0.00009004632],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9402406,0.003835804,0.04642431,0.0007461988,0.0001164793,0.0003919974,0.004239053,0.000564787,0.00344082],"genre_scores_gemma":[0.9418526,0.004501364,0.0415062,0.000464388,0.00003967062,0.0003814914,0.006801697,0.0003359689,0.004116662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001601809,"threshold_uncertainty_score":0.005358577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07685732176008357,"score_gpt":0.2473048464644789,"score_spread":0.1704475247043953,"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."}}