{"id":"W4385693995","doi":"10.1021/acschembio.3c00280","title":"SETDB1 Triple Tudor Domain Ligand, ( <i>R</i> , <i>R</i> )-59, Promotes Methylation of Akt1 in Cells","year":2023,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"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; National Cancer 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; Biology; Phosphorylation; In vitro; Activator (genetics); Cell biology; Receptor; Molecular biology; Chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003489009,0.0001682222,0.0002689089,0.0001048545,0.00002231494,0.00000492195,0.0001888872,0.0004733844,0.00001053491],"category_scores_gemma":[0.0001351419,0.0001634128,0.00009416039,0.0004827906,0.0001376866,0.000004356405,0.000144326,0.0001284428,0.00002824579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002972823,"about_ca_system_score_gemma":0.00006187517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002960692,"about_ca_topic_score_gemma":0.00002555201,"domain_scores_codex":[0.9986517,0.00009609274,0.0004116083,0.0004330939,0.00008791332,0.0003195774],"domain_scores_gemma":[0.9993663,0.0000594505,0.0001453854,0.0003086508,0.00006406489,0.00005607794],"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":[0.0001335662,0.00004526005,0.00102969,0.00002190038,0.00003123774,8.968656e-7,0.00005485497,0.00005330056,0.9938852,0.00006023486,0.001746229,0.002937633],"study_design_scores_gemma":[0.0009740515,0.0001505882,0.0003529821,0.00001320103,0.00001184232,0.000003648662,0.0000257717,0.00006705261,0.9868662,0.001386507,0.009976398,0.0001717051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981702,0.0004577976,0.0001492327,0.0003730319,0.0002162817,0.0002954928,0.00005431127,0.00003101805,0.0002526422],"genre_scores_gemma":[0.9978457,0.0002045709,0.0005029642,0.00008957217,0.000188613,0.00004260016,0.0009435336,0.00002355064,0.0001589025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008230169,"threshold_uncertainty_score":0.666378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008379697415606187,"score_gpt":0.2524222970679676,"score_spread":0.2440425996523615,"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."}}