{"id":"W4225015507","doi":"10.1002/iub.2618","title":"Towards a metabolomic approach to investigate iron–sulfur cluster biogenesis","year":2022,"lang":"en","type":"article","venue":"IUBMB Life","topic":"Metalloenzymes and iron-sulfur proteins","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council Canada; Università degli Studi di Torino; Institut Pasteur","keywords":"Biogenesis; Frataxin; Iron–sulfur cluster; Scaffold protein; Enzyme; Chemistry; Biochemistry; In vivo; Metabolomics; In vitro; Sulfur; Sulfur metabolism; Computational biology; Biophysics; Aconitase; Biology; Signal transduction; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003430044,0.0006439697,0.0005401822,0.001194837,0.0002718691,0.0008369309,0.0004081491,0.0006340143,0.001101974],"category_scores_gemma":[0.0002354586,0.0002148752,0.0003883163,0.0006620639,0.0003495062,0.0008161686,0.0006842822,0.0009741056,0.0003904661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004171925,"about_ca_system_score_gemma":0.0003731309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004067272,"about_ca_topic_score_gemma":0.000510664,"domain_scores_codex":[0.9998223,0.00004697293,0.000008877726,0.00005708812,0.0000432254,0.00002151653],"domain_scores_gemma":[0.9998858,0.00002811059,0.00001932591,0.0000155809,0.00002816528,0.00002304301],"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":[0.00007149859,0.00004753862,0.0004233953,0.00006478449,0.0000157687,0.00004532388,0.00001604518,0.0002843821,0.9933826,0.0008520947,0.00006491131,0.004731722],"study_design_scores_gemma":[0.00002217224,0.0004714934,0.01189461,0.00002456932,0.00006660906,0.0005201749,0.0001247907,0.01806186,0.9508762,0.006343123,0.01154746,0.00004685004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4470366,0.007759233,0.5247853,0.001848878,0.0002481454,0.0006419549,0.006616415,0.001192101,0.009871383],"genre_scores_gemma":[0.660275,0.005941805,0.3227902,0.0007260113,0.0001844421,0.0006354863,0.003595177,0.0002166065,0.005635283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001194837,"threshold_uncertainty_score":0.003686488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02852991646238604,"score_gpt":0.231678739622522,"score_spread":0.203148823160136,"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."}}