{"id":"W3129039159","doi":"10.1101/2021.02.08.430291","title":"Structure and inhibitor binding characterization of oncogenic MLLT1 mutants","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutschen Konsortium für Translationale Krebsforschung; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Genomics; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; McGill University; Genentech; Bayer; Pfizer","keywords":"Acetylation; Histone; Mutant; Epigenetics; Lysine; Affinities; Mutation; Chemistry; Function (biology); Cell biology; Biology; Biochemistry; Genetics; Amino acid; Gene","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":[0.00008880155,0.0002216384,0.0001916419,0.0001192408,0.0001266511,0.0001859903,0.0003144991,0.0002665765,0.0009467757],"category_scores_gemma":[0.000187806,0.0001218384,0.0001896384,0.0001857243,0.0001101596,0.0001213322,0.00009960125,0.0003977944,0.0002946876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004568896,"about_ca_system_score_gemma":0.0001519659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002400455,"about_ca_topic_score_gemma":0.001389483,"domain_scores_codex":[0.9999033,0.00001276955,0.000008914784,0.00001538736,0.0000413214,0.00001824608],"domain_scores_gemma":[0.9999107,0.00001908637,0.00002578916,0.000007412792,0.00001686202,0.0000201914],"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":[0.0001526509,0.00004441241,0.0003413232,0.00001927665,0.000006389683,0.0000960543,0.00002338125,0.0007990084,0.9975903,0.0001123243,0.00006794473,0.0007468367],"study_design_scores_gemma":[0.00001721673,0.000100081,0.002098408,0.000002786502,0.000007507974,0.0001152619,0.00001478166,0.003549993,0.992864,0.00002921114,0.001196769,0.000003938806],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964176,0.0003890358,0.001379825,0.00006468414,0.00001001027,0.00001364098,0.0009091118,0.00004830322,0.0007677547],"genre_scores_gemma":[0.9954461,0.0001653637,0.001515777,0.00002748591,0.000002420388,0.00001330499,0.001537312,0.00003069629,0.001261712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002400455,"threshold_uncertainty_score":0.004772961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005286777092659861,"score_gpt":0.1923064639889078,"score_spread":0.1870196868962479,"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."}}