{"id":"W4205283001","doi":"10.1038/s41573-021-00367-2","title":"Lipogenesis inhibitors: therapeutic opportunities and challenges","year":2022,"lang":"en","type":"review","venue":"Nature Reviews Drug Discovery","topic":"Cancer, Lipids, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":397,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; McMaster University","funders":"Canadian Institutes of Health Research; Diabetes Canada","keywords":"Lipogenesis; ATP citrate lyase; Fatty acid synthase; Fatty acid synthesis; Lyase; Biochemistry; Acetyl-CoA carboxylase; Small molecule; Chemistry; Enzyme; Citrate synthase; Pyruvate carboxylase; Lipid metabolism","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":[0.000719133,0.0008772672,0.001519374,0.001526489,0.0002489207,0.00138349,0.00108671,0.001212322,0.005275012],"category_scores_gemma":[0.0007326992,0.0002697532,0.0005794698,0.001168923,0.0005562911,0.001465892,0.0008400829,0.003315989,0.003379461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005913579,"about_ca_system_score_gemma":0.0006498688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005682963,"about_ca_topic_score_gemma":0.001550944,"domain_scores_codex":[0.9998112,0.00003684415,0.00001955347,0.00003132205,0.00007191129,0.00002918197],"domain_scores_gemma":[0.9997128,0.0001265615,0.00003196187,0.00001190212,0.00007530044,0.00004145193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001410524,0.0001058768,0.00009884295,0.006654117,0.00007120986,0.0002869139,0.00004192424,0.0004218884,0.002362527,0.00792056,0.05498382,0.9269114],"study_design_scores_gemma":[0.00004670588,0.0001083665,0.0002498936,0.001664435,0.00005744253,0.001050478,0.00003219012,0.0001267044,0.0005052843,0.002964392,0.9931781,0.00001593654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001940462,0.9970353,0.0002126767,0.0009153999,0.0003175871,0.000007078548,0.00004102295,0.00002115401,0.001255744],"genre_scores_gemma":[0.001129078,0.9964265,0.0002693252,0.000628836,0.0002810586,0.00001404936,0.00007822673,0.000004570619,0.001168431],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005275012,"threshold_uncertainty_score":0.01764667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0812427367193795,"score_gpt":0.3211180852733274,"score_spread":0.2398753485539479,"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."}}