{"id":"W4376141284","doi":"10.1101/2023.05.10.539986","title":"SETDB1 Triple Tudor Domain Ligand, ( <i>R,R</i> )-59, Promotes Methylation of Akt1 in Cells","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"National Institute of General Medical Sciences; Genentech; Ontario Genomics; National Institutes of Health; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Genome Canada; McGill University; Pharmaceutical Research and Manufacturers of America Foundation; Bayer; Pfizer; Bristol-Myers Squibb","keywords":"Methylation; Methyltransferase; Phosphorylation; In vitro; Activator (genetics); Biology; Ligand (biochemistry); Receptor; Chemistry; Molecular biology; Cell biology; Biochemistry; 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":[0.00007322621,0.0002179073,0.0001432198,0.0001242556,0.0001159689,0.000163815,0.0001646971,0.0001647706,0.009034732],"category_scores_gemma":[0.00006441683,0.00008003433,0.000189123,0.0000866885,0.0001098335,0.00009524583,0.0001526018,0.000291479,0.001782177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002436871,"about_ca_system_score_gemma":0.0001176149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004374966,"about_ca_topic_score_gemma":0.0005435769,"domain_scores_codex":[0.9999295,0.000007081245,0.000003772287,0.0000167125,0.00002787342,0.00001490378],"domain_scores_gemma":[0.9999782,0.000004508516,0.000004488995,0.00000334186,0.000001922188,0.000007520892],"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":[0.0001260083,0.00002582133,0.000106118,0.00004001402,0.000004953312,0.00006157368,0.000006061684,0.0001100195,0.9970787,0.0002739131,0.0007825703,0.001384219],"study_design_scores_gemma":[0.00001720775,0.0000566438,0.001352428,0.000003212519,0.000003135409,0.0001418527,0.000006242867,0.0007538554,0.9930658,0.00004845579,0.004548928,0.000002233009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478167,0.002622552,0.01134764,0.0009827861,0.0003347996,0.00006215304,0.005620687,0.0008847972,0.03032794],"genre_scores_gemma":[0.9633518,0.00105668,0.00595667,0.0001737965,0.00003703066,0.00003803125,0.003737458,0.0001396533,0.02550884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009034732,"threshold_uncertainty_score":0.03022414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111950750552037,"score_gpt":0.2260853435911167,"score_spread":0.214890268535913,"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."}}