{"id":"W4405646313","doi":"10.1038/s42004-024-01382-1","title":"Unravelling 2-oxoglutarate turnover and substrate oxidation dynamics in 5-methylcytosine-oxidising TET enzymes","year":2024,"lang":"en","type":"article","venue":"Communications Chemistry","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence Science and Technology Laboratory; State Key Laboratory of Genetic Engineering; Université de Fribourg; Research Councils UK; Pfizer; Fudan University; Albert-Ludwigs-Universität Freiburg; Diamond Light Source; Defence Science and Technology Group; Newcastle University; Horizon 2020 Framework Programme; Cancer Research UK; GlaxoSmithKline; Engineering and Physical Sciences Research Council; AstraZeneca; Queen's University; European Commission","keywords":"Decarboxylation; Substrate (aquarium); Dioxygenase; Kinetics; Chemistry; Cofactor; Enzyme; Stereochemistry; Biochemistry; Catalysis; Biology","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":[0.0000983842,0.0001489886,0.0001422861,0.0001370603,0.00007016696,0.0001825559,0.00009677198,0.0002267636,0.0006289512],"category_scores_gemma":[0.0001320142,0.0001029157,0.00008177688,0.0001044405,0.0001125171,0.0002370058,0.00009624713,0.0002277269,0.0001591075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001904269,"about_ca_system_score_gemma":0.0001141002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012639,"about_ca_topic_score_gemma":0.001847715,"domain_scores_codex":[0.9999614,0.000005233065,0.000002438363,0.00001177433,0.00001122632,0.000007997495],"domain_scores_gemma":[0.9999387,0.00001529016,0.00002013603,0.000004874308,0.00001193987,0.000008982915],"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":[0.00005376215,0.000004591739,0.001036913,0.00002322558,0.000003046463,0.00001391221,0.00001492875,0.0001486507,0.9972813,0.00003990275,0.00001740226,0.001362294],"study_design_scores_gemma":[0.000003609897,0.0001314753,0.03531135,0.00000868814,0.000009997671,0.0001051853,0.00006997397,0.00722143,0.9555138,0.0001343861,0.001480473,0.000009486968],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951618,0.0007172729,0.003438408,0.00005686549,0.000006847951,0.00000496013,0.0002317327,0.00004048536,0.0003415775],"genre_scores_gemma":[0.9970766,0.0003656144,0.001699924,0.00001610156,0.000003446568,0.000004976789,0.0002183057,0.000008386955,0.0006066622],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001012639,"threshold_uncertainty_score":0.002104044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01651708893145796,"score_gpt":0.2814267409112071,"score_spread":0.2649096519797491,"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."}}