{"id":"W4292148911","doi":"10.1021/jacs.2c06804","title":"Hydropersulfides Inhibit Lipid Peroxidation and Protect Cells from Ferroptosis","year":2022,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Sulfur Compounds in Biology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Division of Chemistry; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Chemistry; Lipid peroxidation; GPX4; Reactivity (psychology); Context (archaeology); Nucleophile; Biochemistry; Phospholipid; Reactive oxygen species; Phospholipid-hydroperoxide glutathione peroxidase; Glutathione; Programmed cell death; Autoxidation; Biophysics; Enzyme; Glutathione peroxidase; Apoptosis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002198323,0.0001025874,0.0001849458,0.000008530964,0.000137922,0.00001466157,0.0003498333,0.00004127988,0.00002484505],"category_scores_gemma":[0.00007654036,0.00007286397,0.0002535185,0.0001184971,0.0003268481,0.0000033304,0.0005012791,0.0003158672,5.389127e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006917439,"about_ca_system_score_gemma":0.00005542386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003631737,"about_ca_topic_score_gemma":5.460583e-7,"domain_scores_codex":[0.9991519,0.0001349409,0.0002213352,0.0001713532,0.0001818909,0.0001385265],"domain_scores_gemma":[0.999253,0.00003936358,0.0004129116,0.0001933876,0.00004974006,0.00005155063],"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":[0.0001025352,0.00003991919,0.001604149,0.000001841052,0.0000926545,3.623312e-7,0.0001264507,0.00003734336,0.9912228,5.571508e-7,0.005415252,0.001356146],"study_design_scores_gemma":[0.0003157333,0.0002628509,0.0006239594,0.000004205907,0.00003097346,0.00004751305,0.0006297536,0.00005410148,0.9811797,0.00006509979,0.01668248,0.0001035912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981239,0.0002436402,0.0000991858,0.001254748,0.000154068,0.00007394505,0.00001583835,0.000003479752,0.00003112655],"genre_scores_gemma":[0.9952799,0.0001366176,0.002801696,0.001325649,0.0003927728,0.000007523594,0.000006564909,0.00001336298,0.0000359207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01126723,"threshold_uncertainty_score":0.2971306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008478329817743402,"score_gpt":0.2274029256081544,"score_spread":0.218924595790411,"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."}}