{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002148107,0.0002518177,0.0003331187,0.0001838845,0.0002105636,0.0003752956,0.0004374595,0.0002100661,0.001397678],"category_scores_gemma":[0.0001781192,0.0001127747,0.0001310998,0.000190029,0.0001531156,0.0001449686,0.0001371225,0.0004558307,0.0001586572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005519589,"about_ca_system_score_gemma":0.0003957357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001989273,"about_ca_topic_score_gemma":0.004180838,"domain_scores_codex":[0.9999045,0.0000186333,0.000008315456,0.000015717,0.00001842334,0.00003427632],"domain_scores_gemma":[0.9999316,0.00001546744,0.00001717953,0.000008462025,0.000009794707,0.00001752035],"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":[0.001016074,0.0001923109,0.000270871,0.00009632642,0.00002397503,0.0001053384,0.00004433917,0.0008874437,0.9867604,0.0009953087,0.0005624575,0.009045087],"study_design_scores_gemma":[0.0002154668,0.001659963,0.001211506,0.00000919441,0.00003464644,0.0003424675,0.00003260305,0.003910618,0.986991,0.0001523645,0.005430236,0.00001006027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912677,0.001990767,0.002592742,0.0005030326,0.00007748263,0.00004436606,0.0001877919,0.0001772679,0.00315893],"genre_scores_gemma":[0.9965475,0.0008234157,0.0009581564,0.00005024804,0.00001031546,0.00001345653,0.0001234658,0.00001199637,0.001461392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001989273,"threshold_uncertainty_score":0.004675686,"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."}}