{"id":"W2579472951","doi":"10.1080/15592294.2017.1279371","title":"Chemical probes targeting epigenetic proteins: Applications beyond oncology","year":2017,"lang":"en","type":"review","venue":"Epigenetics","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Wellcome Trust","keywords":"Epigenetics; Biology; Computational biology; Bromodomain; Methyltransferase; Chemical biology; Epigenesis; Genomics; Profiling (computer programming); Bioinformatics; Genetics; Methylation; DNA methylation; Genome; Gene; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005414578,0.0007999784,0.0009460105,0.002437598,0.0003309292,0.0009855785,0.0007189504,0.00110035,0.005104563],"category_scores_gemma":[0.0005404411,0.0003004487,0.0004672859,0.001769745,0.0006071499,0.001709593,0.000796922,0.002071176,0.003495899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000723155,"about_ca_system_score_gemma":0.0007383025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005787539,"about_ca_topic_score_gemma":0.00132018,"domain_scores_codex":[0.9998266,0.0000239747,0.00001827796,0.00003155637,0.00007628064,0.00002335112],"domain_scores_gemma":[0.9997707,0.000108303,0.00002969124,0.00001124496,0.00005384517,0.00002622653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006699251,0.00009090551,0.0001613423,0.01103872,0.00005473441,0.0003019865,0.0000822313,0.0003947479,0.01072912,0.01240092,0.02740141,0.937277],"study_design_scores_gemma":[0.000005285544,0.00004186023,0.000156098,0.0006520122,0.00002256584,0.0006118257,0.00002136387,0.00005362079,0.001620668,0.001527322,0.9952778,0.00000967543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000221539,0.9953262,0.0005308365,0.0003569956,0.0002852172,0.000008860006,0.00003159128,0.00002058344,0.003218145],"genre_scores_gemma":[0.00142755,0.9952763,0.0004870885,0.0002741203,0.0001691264,0.00001202769,0.00005286951,0.000005826145,0.002295092],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005104563,"threshold_uncertainty_score":0.01707649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0575022130975123,"score_gpt":0.3762924195363466,"score_spread":0.3187902064388343,"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."}}