{"id":"W1971182858","doi":"10.1089/adt.2009.191","title":"A Fluorescence-Based High-Throughput Screening Assay for the Identification of T-Type Calcium Channel Blockers","year":2009,"lang":"en","type":"article","venue":"Assay and Drug Development Technologies","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Eli Lilly (Canada); Inimex Pharmaceuticals (Canada); Centre for Drug Research and Development; University of British Columbia; Celator Pharmaceuticals (Canada)","funders":"","keywords":"High-throughput screening; Patch clamp; Gramicidin; Voltage-dependent calcium channel; Chemistry; Biophysics; Ion channel; Drug discovery; Calcium channel; Channel blocker; Membrane potential; Biology; Biochemistry; Receptor; Calcium; Membrane","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":[0.0008360191,0.001264601,0.001062896,0.000856895,0.0005663314,0.0008605657,0.001230652,0.002071446,0.001877786],"category_scores_gemma":[0.0008627048,0.0004861178,0.0008179215,0.0009932545,0.0004657691,0.0006284242,0.0007441392,0.001615531,0.001538857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007774938,"about_ca_system_score_gemma":0.0006439958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006166926,"about_ca_topic_score_gemma":0.001426951,"domain_scores_codex":[0.9982783,0.0002858136,0.0001251973,0.0003467121,0.0007770821,0.0001868964],"domain_scores_gemma":[0.9994254,0.0001740568,0.0001139074,0.00006638486,0.0001235907,0.00009669603],"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":[0.00005487812,0.0001286914,0.0001481613,0.00007225641,0.00001681545,0.00003553796,0.00001778071,0.0002334981,0.9955851,0.0001470669,0.0003760707,0.003184073],"study_design_scores_gemma":[0.00003089315,0.000569391,0.0009905961,0.0000109939,0.00003095874,0.0002142325,0.00001486755,0.004345392,0.9912829,0.00008743568,0.002398575,0.00002377423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5024739,0.005144402,0.4630299,0.001316619,0.0004646602,0.002422292,0.006295213,0.005016416,0.0138367],"genre_scores_gemma":[0.6762053,0.004974872,0.2956004,0.0008626115,0.0001423979,0.002351725,0.004895234,0.0002234741,0.01474389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002071446,"threshold_uncertainty_score":0.006281793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01982578645416902,"score_gpt":0.2521797831361171,"score_spread":0.232353996681948,"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."}}