{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001259371,0.0004502815,0.0002112975,0.000181754,0.00009654164,0.0001333288,0.0001778984,0.0002419965,0.001460482],"category_scores_gemma":[0.00008983358,0.0001216116,0.0002205712,0.00008657507,0.0001348878,0.0001858446,0.0001509717,0.0005288606,0.0003464208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001296235,"about_ca_system_score_gemma":0.0001592128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001922061,"about_ca_topic_score_gemma":0.0005529423,"domain_scores_codex":[0.9999211,0.00001468626,0.000008629327,0.00001106872,0.00002616377,0.00001851378],"domain_scores_gemma":[0.9999272,0.00001366667,0.00002403198,0.000007561429,0.0000124273,0.0000150876],"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":[0.00009610978,0.00003518134,0.00004758737,0.00007902067,0.000006176051,0.00001673666,0.00001127241,0.00006210329,0.9963728,0.00007761015,0.00008081816,0.003114612],"study_design_scores_gemma":[0.00001005142,0.0004072991,0.0004992913,0.000003666553,0.000006015272,0.00003553493,0.00000662125,0.0001444166,0.9967084,0.00002630063,0.002150291,0.00000205603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749351,0.009659003,0.009656943,0.0002593225,0.0001055826,0.0001526379,0.0005691718,0.0004013482,0.004260937],"genre_scores_gemma":[0.9787462,0.007330616,0.007226683,0.0001289244,0.0000461578,0.0001063069,0.0006214727,0.00004805747,0.005745428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001460482,"threshold_uncertainty_score":0.004885852,"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."}}