{"id":"W3087575657","doi":"10.1038/s42003-020-01223-6","title":"Sequence specificity analysis of the SETD2 protein lysine methyltransferase and discovery of a SETD2 super-substrate","year":2020,"lang":"en","type":"article","venue":"Communications Biology","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"National Institute of General Medical Sciences; Office of Science; Deutsche Forschungsgemeinschaft; Wellcome Trust; National Institutes of Health; Ontario Genomics; Office of Research Infrastructure Programs, National Institutes of Health; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutscher Akademischer Austauschdienst; Genome Canada; Pfizer; Novartis Pharma; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Argonne National Laboratory; U.S. Department of Energy","keywords":"Methylation; Methyltransferase; Lysine; Peptide; Biochemistry; Substrate (aquarium); Methionine; Histone methyltransferase; Histone H3; Peptide sequence; Chemistry; Amino acid; Biology; Gene","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":[0.0001990047,0.0003446721,0.0002868628,0.0001421526,0.0001415965,0.0002255679,0.0003047254,0.0002621221,0.0008706586],"category_scores_gemma":[0.0002501474,0.000153533,0.0003116615,0.0001868157,0.0001744716,0.0001433357,0.0002103371,0.0003888406,0.000252274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004315182,"about_ca_system_score_gemma":0.0001806224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004574452,"about_ca_topic_score_gemma":0.0008125807,"domain_scores_codex":[0.9998693,0.00002629584,0.00001147287,0.00003148305,0.00004592733,0.00001549299],"domain_scores_gemma":[0.9998925,0.00002453175,0.00001628563,0.00001195256,0.0000206404,0.00003408486],"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":[0.0000709232,0.000009358037,0.0005121863,0.00003048717,0.000006478026,0.00006674045,0.000009057657,0.0003465884,0.9980595,0.00006286774,0.0000169569,0.0008089092],"study_design_scores_gemma":[0.000005484738,0.00005648477,0.00114411,0.000001313027,0.000007156586,0.0001724048,0.000009174712,0.001967562,0.9959138,0.00002532487,0.0006927834,0.000004515113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899405,0.0006483432,0.008356431,0.0000581917,0.000009828207,0.00002418976,0.0002746843,0.00003809795,0.0006497272],"genre_scores_gemma":[0.9857625,0.0002778476,0.01228093,0.00002924124,0.00000275851,0.00001971938,0.0008879601,0.00001986616,0.0007192979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008706586,"threshold_uncertainty_score":0.003130913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04305664214447234,"score_gpt":0.2956154905327915,"score_spread":0.2525588483883192,"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."}}