{"id":"W2159753430","doi":"10.1186/s13148-015-0118-9","title":"Dual EZH2 and EHMT2 histone methyltransferase inhibition increases biological efficacy in breast cancer cells","year":2015,"lang":"en","type":"article","venue":"Clinical Epigenetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Ministero dello Sviluppo Economico; Cancer Research UK; Ontario Ministry of Economic Development and Innovation; Ontario Genomics Institute; Ontario Genomics; Genome Canada; Wellcome Trust; GlaxoSmithKline; European Commission; Pfizer; Ovarian Cancer Action; Engineering and Physical Sciences Research Council; Eli Lilly and Company","keywords":"Histone methyltransferase; Gene silencing; EZH2; Biology; Histone; Histone methylation; Chromatin; Chromatin immunoprecipitation; Gene knockdown; Methyltransferase; Cancer research; RNA interference; Gene expression; Methylation; Cell biology; DNA methylation; Gene; Biochemistry; Promoter; RNA","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":[0.001015685,0.0002366125,0.0003565642,0.0000656901,0.0000506315,0.00002719532,0.0001043427,0.000464679,0.00002488526],"category_scores_gemma":[0.0004152544,0.0002162867,0.0001140425,0.0001455182,0.0003470352,0.00000501511,0.0001318985,0.0002313922,0.00001066643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003038906,"about_ca_system_score_gemma":0.0001723703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002186422,"about_ca_topic_score_gemma":0.0001535897,"domain_scores_codex":[0.9977447,0.0004153602,0.0007261444,0.0006108437,0.0001792148,0.0003237303],"domain_scores_gemma":[0.9988379,0.0001684091,0.0001190294,0.0003184133,0.0001613166,0.0003948837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007559916,0.001813108,0.2536396,0.00003061565,0.0000775187,0.00004354354,0.0001066643,0.001133922,0.69238,0.00009888436,0.0007552023,0.04916499],"study_design_scores_gemma":[0.006466265,0.001984523,0.5759502,0.00007264454,0.0001006483,0.00001824891,0.0001020829,0.0004042375,0.3985762,0.001217668,0.01416195,0.0009453066],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913351,0.006489658,0.0009465975,0.0003984811,0.0003142324,0.0002572371,0.0001140583,0.00001649774,0.0001281205],"genre_scores_gemma":[0.9844527,0.01323776,0.001167674,0.0003686655,0.0005509694,0.00002300585,0.0001222242,0.00002886792,0.00004811619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3223107,"threshold_uncertainty_score":0.8819917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06994144965050621,"score_gpt":0.3805285219737153,"score_spread":0.3105870723232091,"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."}}