{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008031063,0.0001916641,0.0003022468,0.00003248311,0.0008390417,0.00002673832,0.0004379204,0.0001908399,0.00001233257],"category_scores_gemma":[0.003346272,0.0001235152,0.0002537952,0.0003015612,0.001011915,0.0002012778,0.0003069047,0.0003107853,0.000003090945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004791699,"about_ca_system_score_gemma":0.00003336894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007963547,"about_ca_topic_score_gemma":2.033965e-7,"domain_scores_codex":[0.9984772,0.0000754725,0.0003131303,0.0005184739,0.0001433606,0.0004724058],"domain_scores_gemma":[0.9974264,0.001859108,0.0002467321,0.00005402943,0.000338549,0.00007517372],"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":[0.0004368956,0.00004716803,0.001163404,0.0001150802,0.00004395737,6.463985e-8,0.002885452,5.414233e-7,0.9922629,0.0002331237,0.002477314,0.0003340759],"study_design_scores_gemma":[0.0006892376,0.000857541,0.001640879,0.00004930181,0.00007560027,0.00001234719,0.001614479,0.0003425918,0.9910143,0.001662338,0.001873615,0.0001677522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955963,0.000009462929,0.000007688063,0.002564925,0.0003531813,0.0009723167,0.00006608248,0.00006951254,0.0003605178],"genre_scores_gemma":[0.9968463,0.00003687512,0.0005935273,0.001737783,0.0004193301,0.0001715247,0.000001269706,0.00001757836,0.0001758164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002543166,"threshold_uncertainty_score":0.6453315,"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."}}