{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001616062,0.0004531643,0.0005103881,0.0002751804,0.0001406888,0.0002890297,0.0002483513,0.0002899189,0.002323661],"category_scores_gemma":[0.0001070638,0.0001187755,0.0002826236,0.0002781657,0.0001399755,0.0001475523,0.0001676428,0.000696146,0.0005324216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237271,"about_ca_system_score_gemma":0.0002251193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005653285,"about_ca_topic_score_gemma":0.001458353,"domain_scores_codex":[0.9998326,0.00002092352,0.00001647209,0.00003008883,0.00006767934,0.00003220143],"domain_scores_gemma":[0.9999212,0.00001628281,0.00001403896,0.00001074029,0.00001677957,0.000020876],"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":[0.0002016067,0.0001132776,0.0001496425,0.00007392749,0.00001546554,0.00002273871,0.000009854986,0.0000697498,0.9964374,0.00003611001,0.0001375932,0.002732697],"study_design_scores_gemma":[0.00003312769,0.0007406506,0.001787524,0.000003633002,0.00003166857,0.000094937,0.000009086315,0.0002959814,0.9950045,0.00001186147,0.001984299,0.000002795014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984848,0.005674961,0.003116258,0.0002230548,0.00008221996,0.0000971812,0.001177265,0.0003323611,0.004448734],"genre_scores_gemma":[0.9881505,0.002354006,0.002861377,0.00009062468,0.00001617773,0.00009729437,0.00166817,0.00003076031,0.004731182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002323661,"threshold_uncertainty_score":0.007773399,"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."}}