{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005751258,0.000118502,0.0001041127,0.00007464987,0.0002070392,0.00002197973,0.0001481919,0.0001491479,0.000001134664],"category_scores_gemma":[0.0002958863,0.00008788076,0.00003546704,0.0001550093,0.000107687,0.000006941702,0.00004202816,0.000058069,9.172264e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001085958,"about_ca_system_score_gemma":0.00005563015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004062059,"about_ca_topic_score_gemma":0.000003161542,"domain_scores_codex":[0.9992109,0.00002352551,0.0002543796,0.0002405629,0.0001169526,0.0001536634],"domain_scores_gemma":[0.999446,0.00004834365,0.000139524,0.0002014194,0.0001502905,0.00001441966],"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":[0.0005011737,0.0001658622,0.00123019,0.00007596361,0.0001695333,8.392558e-7,0.0003887537,0.001752957,0.5085599,0.002360215,0.01657748,0.4682172],"study_design_scores_gemma":[0.0004350219,0.00008841442,0.002905202,0.00002206622,0.00001641326,0.000001386272,0.0007608451,0.005660254,0.9737081,0.0005020208,0.015744,0.0001562663],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2396109,0.001708356,0.740986,0.01547471,0.0007706396,0.001053815,0.00001589494,0.0003177514,0.00006189021],"genre_scores_gemma":[0.9903726,0.00009905855,0.008916376,0.00009496861,0.00004026017,0.00004065409,0.0001027696,0.000006914224,0.0003263976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7507617,"threshold_uncertainty_score":0.3583673,"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."}}