{"id":"W2976436408","doi":"10.1101/391870","title":"A Chemical Toolbox for the Study of Bromodomains and Epigenetic Signaling","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; Princess Margaret Cancer Centre; University of Toronto; Ottawa Hospital; University Health Network","funders":"Ministero dello Sviluppo Economico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Deutsche Forschungsgemeinschaft; Ontario Ministry of Economic Development and Innovation; Novartis Pharma; Wellcome Trust; Medical Research Council; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Genome Canada; Pfizer","keywords":"Bromodomain; Epigenetics; Acetylation; Computational biology; Histone; Biology; Triple-negative breast cancer; Small molecule; Chemistry; Cell biology; Cancer research; Bioinformatics; Cancer; Biochemistry; Genetics; Breast cancer; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004541745,0.0002947618,0.0002957235,0.00005744009,0.0001209405,0.00006468401,0.0003998396,0.0003304279,0.000006897817],"category_scores_gemma":[0.0002957509,0.0002496482,0.0001062456,0.000102704,0.0001769729,0.000003742756,0.0003864259,0.0001840931,0.000001488896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002253903,"about_ca_system_score_gemma":0.0001838985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001739418,"about_ca_topic_score_gemma":0.000002175279,"domain_scores_codex":[0.998445,0.00007979885,0.0003891058,0.0006459933,0.0001855719,0.0002545113],"domain_scores_gemma":[0.9983747,0.0000461052,0.0002818265,0.000861223,0.0003378186,0.00009831187],"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":[0.00006435106,0.0001636005,0.001179177,0.0001032743,0.0001706903,8.159946e-7,0.0000133651,0.0000127741,0.9979933,0.00002534766,0.0002686753,0.000004658017],"study_design_scores_gemma":[0.0007389784,0.0003132988,0.004105973,0.00006715384,0.0001189901,1.179435e-8,0.0000167376,0.0001325812,0.991676,0.000001925649,0.002520493,0.0003079014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925912,0.00136478,0.00406711,0.00006263579,0.000326469,0.001471619,0.00008839318,0.00002558389,0.000002213602],"genre_scores_gemma":[0.9964383,0.00009413828,0.002358862,0.0000762463,0.0006220285,0.0003455627,7.318204e-7,0.00006002241,0.000004070681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006317315,"threshold_uncertainty_score":0.9999956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01468043402017135,"score_gpt":0.2342059691867143,"score_spread":0.2195255351665429,"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."}}