{"id":"W2887604271","doi":"10.1038/s42003-018-0101-z","title":"Bioluminescence resonance energy transfer-based biosensors allow monitoring of ligand- and transducer-mediated GPCR conformational changes","year":2018,"lang":"en","type":"article","venue":"Communications Biology","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Bioluminescence; Transducer; Biosensor; G protein-coupled receptor; Förster resonance energy transfer; Energy transfer; Biophysics; Ligand (biochemistry); Resonance (particle physics); Chemistry; Receptor; Biology; Physics; Fluorescence; Biochemistry; Chemical physics; Acoustics","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":[0.0005005911,0.0005911134,0.0004186917,0.0003308408,0.0001765088,0.0004525535,0.0007771108,0.001035494,0.001441983],"category_scores_gemma":[0.0004564843,0.0003091808,0.0004013911,0.000287949,0.0005230269,0.0009357334,0.0003510815,0.001479965,0.001052532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004838377,"about_ca_system_score_gemma":0.0001422806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000201189,"about_ca_topic_score_gemma":0.0002398748,"domain_scores_codex":[0.9996423,0.00007908513,0.00001292138,0.000102108,0.0001133866,0.00005031892],"domain_scores_gemma":[0.9998048,0.00008014961,0.00005514278,0.00001660041,0.00002440965,0.00001885739],"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":[0.00004263786,0.00003268541,0.00009792377,0.0001283833,0.000008270457,0.00004028134,0.00002271015,0.0002114351,0.9915872,0.001537951,0.0003819758,0.005908615],"study_design_scores_gemma":[0.00001163279,0.0001400836,0.0003752905,0.00001113746,0.00001249994,0.0001606215,0.00002341536,0.002934286,0.988884,0.0004262301,0.00700095,0.00001976919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.497822,0.0408098,0.4299653,0.003785536,0.001126519,0.0002368566,0.001402915,0.003653189,0.02119784],"genre_scores_gemma":[0.8336707,0.01656501,0.1352608,0.001573879,0.0002212191,0.0002561248,0.000665279,0.0001616953,0.01162531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001441983,"threshold_uncertainty_score":0.004823923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675356052114464,"score_gpt":0.2732108438431219,"score_spread":0.2464572833219773,"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."}}