{"id":"W3084301834","doi":"10.1254/jpssuppl.wcp2018.0_po1-12-1","title":"Interaction between TRPs and GPCRs as a basis for developing TRP biosensors","year":2018,"lang":"en","type":"article","venue":"Proceedings for Annual Meeting of The Japanese Pharmacological Society","topic":"Neurobiology and Insect Physiology Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"TRPC; TRPC3; G protein-coupled receptor; Transient receptor potential channel; TRPC6; Cell biology; Chemistry; Calcium channel; Calcium signaling; Förster resonance energy transfer; Angiotensin II; Receptor; Angiotensin II receptor type 1; Coupling (piping); Calcium; Biophysics; Signal transduction; Biology; Biochemistry; Fluorescence; Materials science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001010215,0.0005956616,0.0005818107,0.000378648,0.0003614787,0.0006244661,0.0009744996,0.001181058,0.001169556],"category_scores_gemma":[0.0009294036,0.0002803983,0.0006911356,0.0003045918,0.0007564462,0.001529283,0.0008030636,0.001921409,0.001129111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005165511,"about_ca_system_score_gemma":0.0002798346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001477453,"about_ca_topic_score_gemma":0.0001311299,"domain_scores_codex":[0.9995932,0.00008483695,0.00003246788,0.0001007291,0.0001307334,0.00005817039],"domain_scores_gemma":[0.9997914,0.00005645433,0.00002931394,0.00002542171,0.00006387908,0.00003350338],"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":[0.00002924765,0.00005544789,0.0001486812,0.000178281,0.000008896885,0.0001259208,0.00003215836,0.0005878641,0.9828597,0.008564326,0.0003133645,0.007096034],"study_design_scores_gemma":[0.00001816959,0.000325764,0.0003918477,0.00003782067,0.0000326275,0.0003859947,0.00006262415,0.01526683,0.9599428,0.004025732,0.01948355,0.00002627846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2055447,0.01145824,0.7647015,0.004578184,0.001004698,0.0006076777,0.0004272201,0.001622429,0.01005527],"genre_scores_gemma":[0.4938067,0.009418077,0.4877373,0.001582738,0.0002020871,0.0008843516,0.0006610009,0.0001702911,0.005537328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001181058,"threshold_uncertainty_score":0.005342543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07117726992605433,"score_gpt":0.3711349013745113,"score_spread":0.2999576314484569,"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."}}