{"id":"W4390477239","doi":"10.1016/j.ejps.2023.106689","title":"Exploring the impact of CYP2D6 and UGT2B7 gene-drug interactions, and CYP-mediated DDI on oxycodone and oxymorphone pharmacokinetics using physiologically-based pharmacokinetic modeling and simulation","year":2024,"lang":"en","type":"article","venue":"European Journal of Pharmaceutical Sciences","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Oxymorphone; Oxycodone; Pharmacology; Pharmacokinetics; CYP2D6; UGT2B7; CYP3A4; Physiologically based pharmacokinetic modelling; Active metabolite; Opioid; Drug interaction; Chemistry; Medicine; Internal medicine; Glucuronidation; Receptor; Cytochrome P450; Metabolism; In vitro","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":[0.0007210321,0.0006470482,0.0008543741,0.0004289228,0.0002529954,0.0008645831,0.0005890353,0.0009273253,0.002060671],"category_scores_gemma":[0.002525066,0.0004403252,0.00141378,0.0004156196,0.0002870384,0.0004594248,0.0003784674,0.0008025736,0.0003831846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008728777,"about_ca_system_score_gemma":0.001917163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02864257,"about_ca_topic_score_gemma":0.01105351,"domain_scores_codex":[0.9997318,0.0001002483,0.00001652134,0.00005017655,0.00006379613,0.00003739799],"domain_scores_gemma":[0.9988393,0.0008547578,0.0001230901,0.0000354534,0.0001211621,0.00002612174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006503943,0.00004640625,0.003318889,0.00008759586,0.00006652443,0.0001293665,0.00001730823,0.9899368,0.001311409,0.000928557,0.0002610246,0.003830997],"study_design_scores_gemma":[0.00003636812,0.00009121295,0.001207626,0.00001451364,0.00005985075,0.00005750024,0.00001274373,0.9953257,0.001254254,0.0006978139,0.001229906,0.00001241611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7466456,0.003809261,0.2275053,0.001209066,0.0001123462,0.0003616367,0.004088957,0.000592653,0.01567518],"genre_scores_gemma":[0.9720339,0.00149439,0.02076412,0.0002316856,0.00002002142,0.0002985,0.00127943,0.00006159266,0.003816297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02864257,"threshold_uncertainty_score":0.0569517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3695771790641956,"score_gpt":0.4821304842564242,"score_spread":0.1125533051922286,"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."}}