{"id":"W3217765407","doi":"10.1016/j.chembiol.2021.11.002","title":"Metabolic targeting of cancer by a ubiquinone uncompetitive inhibitor of mitochondrial complex I","year":2021,"lang":"en","type":"article","venue":"Cell chemical biology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quebec - Clinical Research Organization in Cancer","funders":"National Cancer Institute; National Institutes of Health; Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg; RWTH Aachen University; California Breast Cancer Research Program; Ligue Contre le Cancer; National Institute of General Medical Sciences; Natural Science Foundation of Fujian Province; Deutsche Forschungsgemeinschaft; National Natural Science Foundation of China","keywords":"Uncompetitive inhibitor; Mitochondrion; Biology; Biochemistry; Cancer cell; Electron Transport Complex I; In vivo; Cancer; Pharmacology; Chemistry; Enzyme; Non-competitive inhibition; Respiratory chain; Genetics","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":[0.00006269414,0.0001800432,0.0004828726,0.0000247934,0.00002204851,0.00000330306,0.0001783971,0.0002793173,0.0002139318],"category_scores_gemma":[0.0001070339,0.0001727566,0.0001906124,0.0001328227,0.000294903,0.000002126021,0.0001892599,0.0001195496,0.000002437542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008950466,"about_ca_system_score_gemma":0.0001752618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001142273,"about_ca_topic_score_gemma":0.0000185171,"domain_scores_codex":[0.9987159,0.00008732287,0.0003978836,0.0004267055,0.00008354743,0.0002886178],"domain_scores_gemma":[0.9991659,0.0000335181,0.0002054013,0.0002465917,0.000255506,0.00009311931],"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":[0.0001502735,0.0001359077,0.0003374358,0.00004647193,0.00008027931,3.557402e-7,0.00003685464,0.000001888039,0.9883311,0.0001302827,0.009808886,0.000940314],"study_design_scores_gemma":[0.0008345998,0.00005683499,0.00003154336,0.000007703028,0.0000432358,0.000001855247,0.00004355475,0.000002626238,0.7346393,0.00004297181,0.2641651,0.0001306679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556668,0.04123275,0.0002317352,0.00008935721,0.001074983,0.0001203843,0.0004640747,0.000007280697,0.00111266],"genre_scores_gemma":[0.9904275,0.003261705,0.002407202,0.0002485143,0.002283324,0.0000314723,0.0009910212,0.0000243697,0.000324903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2543562,"threshold_uncertainty_score":0.7044809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008946154299311901,"score_gpt":0.2533534895221637,"score_spread":0.2444073352228518,"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."}}