{"id":"W2519223696","doi":"10.1038/srep33099","title":"Molecular evolutionary dynamics of cytochrome P450 monooxygenases across kingdoms: Special focus on mycobacterial P450s","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Pharmacogenetics and Drug Metabolism","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Higher Education and Training; Ministry of Science, ICT and Future Planning; Central University of Technology; Allard Foundation; National Research Foundation; University of Wisconsin-Madison","keywords":"Monooxygenase; Biology; Cytochrome P450; Phylogenetic tree; Function (biology); Genome; Evolutionary biology; Molecular evolution; Computational biology; Genetics; Functional diversity; Gene; Ecology; Biochemistry; Enzyme","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":[0.0005084375,0.0002126269,0.0003002331,0.001089765,0.0004077902,0.0006944914,0.0001717282,0.000335237,0.0009037601],"category_scores_gemma":[0.0008328623,0.0001059064,0.0002647424,0.001379041,0.0002683388,0.0007179121,0.000428841,0.0004740676,0.0003619803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002934391,"about_ca_system_score_gemma":0.0001902756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006921217,"about_ca_topic_score_gemma":0.0008059746,"domain_scores_codex":[0.9996545,0.00007844604,0.00002641958,0.0001183997,0.00006938383,0.00005279214],"domain_scores_gemma":[0.999384,0.0001499961,0.0002130874,0.00005106846,0.0001263937,0.00007536467],"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":[0.0007168344,0.00008702344,0.3464739,0.0006359414,0.0002163442,0.001028423,0.001654678,0.001526392,0.4738654,0.00322377,0.0004995601,0.1700718],"study_design_scores_gemma":[0.00001309971,0.000315388,0.9334614,0.00008584224,0.0001465035,0.002642815,0.001023955,0.003823563,0.0308548,0.001865555,0.02573144,0.00003565349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788806,0.01319932,0.004834777,0.0002642428,0.00001582832,0.00001307478,0.000338028,0.00003152813,0.002422552],"genre_scores_gemma":[0.9908742,0.003787571,0.004067628,0.00005078628,0.00001639555,0.00001031391,0.0005425729,0.00001689656,0.0006337268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001089765,"threshold_uncertainty_score":0.003023386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04834051284625562,"score_gpt":0.3835667493685992,"score_spread":0.3352262365223436,"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."}}