{"id":"W2895673275","doi":"10.1002/anie.201810617","title":"Discovery of an MLLT1/3 YEATS Domain Chemical Probe","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"UCB Pharma; Novartis Pharma; Ontario Ministry of Economic Development and Innovation; Ministero dello Sviluppo Economico; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Diamond Light Source; Wellcome Trust; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Government of Ontario; Engineering and Physical Sciences Research Council; AstraZeneca; Pfizer","keywords":"Small molecule; Bromodomain; Chemical biology; Drug discovery; Chemistry; Epigenetics; Lysine; Computational biology; Biology; Biochemistry; Amino acid; 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":[0.000284836,0.0003887363,0.0002161954,0.0001811339,0.0001658418,0.0002464826,0.0004064547,0.0005908377,0.001645629],"category_scores_gemma":[0.0002420901,0.0001558628,0.0003041336,0.0001772641,0.0002214478,0.0002560767,0.0003021499,0.0007561705,0.0004550888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000680071,"about_ca_system_score_gemma":0.0003214163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004846303,"about_ca_topic_score_gemma":0.0007997082,"domain_scores_codex":[0.9998896,0.00001823082,0.00000404597,0.00002318455,0.00003547626,0.00002937206],"domain_scores_gemma":[0.9999001,0.00002468316,0.00002563666,0.000008078234,0.00001749981,0.00002395922],"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":[0.0001061283,0.00005459146,0.0001413121,0.00009312073,0.0000112075,0.0001080866,0.00002610875,0.0006027232,0.9916189,0.001029589,0.0004481215,0.005760088],"study_design_scores_gemma":[0.00003993044,0.0004615461,0.0002681577,0.000004791957,0.000007118944,0.0001341211,0.000007061942,0.0009358154,0.9912587,0.00008296607,0.006793661,0.00000617498],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184933,0.007287474,0.0568882,0.001524589,0.0001645111,0.0004016192,0.001550972,0.0005054802,0.01318383],"genre_scores_gemma":[0.9599004,0.003406366,0.02779522,0.000523519,0.00003540464,0.0001729367,0.001031169,0.00003972304,0.00709527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001645629,"threshold_uncertainty_score":0.005505145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009069037906289514,"score_gpt":0.2604551088495594,"score_spread":0.2513860709432699,"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."}}