{"id":"W2068865819","doi":"10.1002/cmdc.201300450","title":"A Chemical Tool for In Vitro and In Vivo Precipitation of Lysine Methyltransferase G9a","year":2014,"lang":"en","type":"article","venue":"ChemMedChem","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Cancer Institute; University of North Carolina at Chapel Hill; National Institutes of Health; Fonds National de la Recherche Luxembourg; V Foundation for Cancer Research; Ontario Ministry of Economic Development and Innovation; Wellcome Trust","keywords":"In vivo; In vitro; Lysine; Methyltransferase; Chemistry; Biochemistry; Computational biology; Cell biology; Biology; Biotechnology; Methylation; Amino acid; DNA","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":[0.0003614803,0.0006312696,0.0002604008,0.0003608201,0.000436419,0.0002876658,0.0005431592,0.0005754579,0.001832737],"category_scores_gemma":[0.0003351542,0.0004126047,0.0003272912,0.0002271664,0.00035901,0.0002828028,0.000436742,0.0009785057,0.001744437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006349749,"about_ca_system_score_gemma":0.000491866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007346985,"about_ca_topic_score_gemma":0.002207342,"domain_scores_codex":[0.9995874,0.00007542273,0.00003309228,0.0001066345,0.0001384467,0.00005898633],"domain_scores_gemma":[0.9997397,0.00004599474,0.00008066935,0.00006163165,0.0000269987,0.00004493108],"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":[0.00002696393,0.00002366018,0.00005759838,0.00003710591,0.000005556787,0.00002804076,0.00001120144,0.0001342164,0.9973848,0.0003253615,0.0001247685,0.001840636],"study_design_scores_gemma":[0.000007639403,0.00005948963,0.0001604339,0.000003252014,0.000005307777,0.0001042246,0.000004465195,0.0003179203,0.9917319,0.00004187247,0.007559029,0.000004459753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4981771,0.005893338,0.4766891,0.001211833,0.000426443,0.0009166989,0.002908541,0.002293692,0.01148339],"genre_scores_gemma":[0.7161294,0.00351244,0.2619353,0.0004698347,0.00006861518,0.0005248217,0.003963002,0.0003303277,0.01306628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001832737,"threshold_uncertainty_score":0.006131053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009037070086034363,"score_gpt":0.2543165603396321,"score_spread":0.2452794902535977,"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."}}