{"id":"W1599887186","doi":"10.18433/j3288c","title":"Reversible, Time-Dependent Inhibition of CYP3A-Mediated Metabolism of Midazolam and Tacrolimus by Telaprevir in Human Liver Microsomes","year":2015,"lang":"en","type":"article","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; University of Washington","keywords":"CYP3A; Telaprevir; Midazolam; Microsome; Pharmacology; Tacrolimus; CYP3A4; Chemistry; Non-competitive inhibition; IC50; Metabolite; Drug interaction; Cytochrome P450; Pharmacokinetics; Metabolism; Biochemistry; Biology; In vitro; Medicine; Enzyme; Internal medicine; Transplantation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005533775,0.0003619765,0.0003000328,0.0001378828,0.0001563147,0.0002577392,0.0002979059,0.0002219791,0.001737884],"category_scores_gemma":[0.0005054975,0.000201529,0.0004248757,0.0001797962,0.0001806979,0.0002609832,0.0001813546,0.0004414688,0.0007515592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003074278,"about_ca_system_score_gemma":0.0003519455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00104941,"about_ca_topic_score_gemma":0.001294533,"domain_scores_codex":[0.9994739,0.0001749947,0.00004311739,0.0001088888,0.0001453063,0.0000537237],"domain_scores_gemma":[0.999853,0.00003998643,0.00003694643,0.00003625657,0.00002516492,0.000008650658],"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":[0.0006274597,0.00008009566,0.0009226698,0.0001247496,0.0000513277,0.00008055651,0.00003971684,0.0003321621,0.9918966,0.0001241727,0.00009121991,0.005629273],"study_design_scores_gemma":[0.00003808076,0.001013447,0.004467876,0.000005578242,0.00004277649,0.0002517166,0.00001294157,0.001896599,0.9910074,0.00003463792,0.001221154,0.00000778328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703382,0.004969974,0.02041463,0.0001508423,0.00005751656,0.0002143067,0.0008888393,0.0002522897,0.002713439],"genre_scores_gemma":[0.9889928,0.001073252,0.006432887,0.00003375745,0.00002255068,0.0001127556,0.001097939,0.00002320932,0.002210916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001737884,"threshold_uncertainty_score":0.005813837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185913569176088,"score_gpt":0.4371306430822569,"score_spread":0.3185392861646482,"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."}}