{"id":"W1028708722","doi":"10.1016/j.ymeth.2015.07.011","title":"Design and construction of conformational biosensors to monitor ion channel activation: A prototype FlAsH/BRET-approach to Kir3 channels","year":2015,"lang":"en","type":"article","venue":"Methods","topic":"bioluminescence and chemiluminescence research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flash (photography); Ion channel; Channel (broadcasting); Biosensor; Nanotechnology; Biophysics; Chemistry; Computer science; Materials science; Physics; Biochemistry; Biology; Telecommunications; Receptor; Optics","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":[0.001025056,0.0006716106,0.0008020981,0.0003179022,0.0004843052,0.0007835919,0.001318811,0.0008925552,0.001213567],"category_scores_gemma":[0.0006087173,0.0005206756,0.0006086326,0.0002861785,0.000653486,0.0007249505,0.0005631912,0.001831484,0.0007539734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006703904,"about_ca_system_score_gemma":0.0004610355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002760357,"about_ca_topic_score_gemma":0.0004561163,"domain_scores_codex":[0.9995951,0.00006779859,0.00003332728,0.0000974207,0.0001392409,0.00006703587],"domain_scores_gemma":[0.9996864,0.00006754944,0.00004108929,0.00007368468,0.00005977317,0.0000714701],"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":[0.00006204028,0.0000386649,0.00006048782,0.00004490522,0.000006863727,0.00002347282,0.00002473607,0.0002863182,0.9957409,0.0007136154,0.0001408959,0.002857075],"study_design_scores_gemma":[0.0000185976,0.0001350885,0.000175755,0.000003575602,0.000008590136,0.0001052328,0.00001459983,0.002567786,0.9944775,0.0003108831,0.002168995,0.00001349498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3922695,0.0006847776,0.5994882,0.001019998,0.0002003996,0.0007343005,0.001066492,0.002398183,0.002138169],"genre_scores_gemma":[0.5461086,0.001117688,0.4434569,0.0004737773,0.00003872489,0.001071465,0.002046857,0.0003253753,0.005360711],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001318811,"threshold_uncertainty_score":0.005421042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07392288707265797,"score_gpt":0.3663479518116193,"score_spread":0.2924250647389613,"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."}}