{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003198004,0.00008883237,0.0001538414,0.00004818834,0.000007821995,0.00000490665,0.00005485411,0.0001252542,0.000002945396],"category_scores_gemma":[0.0002746329,0.00009220343,0.00003999683,0.00007757613,0.00003960055,0.000003012823,0.0000189834,0.00004132652,1.557854e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009808654,"about_ca_system_score_gemma":0.00001777491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008134112,"about_ca_topic_score_gemma":0.00001328522,"domain_scores_codex":[0.9993421,0.00002462765,0.0002270617,0.0002171049,0.00005934835,0.0001297807],"domain_scores_gemma":[0.9996939,0.00005643607,0.00004242404,0.0001318801,0.00004513029,0.00003028238],"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":[0.0002041902,0.00005289797,0.001166648,0.00005873457,0.000006018865,9.052977e-8,0.00007913829,0.00001577671,0.9928468,0.00002928369,0.00001182562,0.005528531],"study_design_scores_gemma":[0.001158224,0.00005508364,0.00095279,0.00001154377,0.00000788749,2.881058e-7,0.00001396379,0.0005322162,0.9959111,0.0005760298,0.0006781833,0.0001026674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931636,0.0003531474,0.005968459,0.00009705198,0.00002162142,0.0001940974,0.00001128447,0.000002482055,0.0001882811],"genre_scores_gemma":[0.9945498,0.0000748345,0.005107376,0.0000334242,0.00005801379,0.00004978928,0.00008005193,0.00001192078,0.00003485665],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005425863,"threshold_uncertainty_score":0.3759947,"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."}}