{"id":"W2337020460","doi":"10.1021/acs.jmedchem.5b01890","title":"Discovery and Characterization of a Highly Potent and Selective Aminopyrazoline-Based in Vivo Probe (BAY-598) for the Protein Lysine Methyltransferase SMYD2","year":2016,"lang":"en","type":"article","venue":"Journal of Medicinal Chemistry","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Structural Genomics Consortium; Wellcome Trust; Wellcome","keywords":"Methyltransferase; Methylation; Chemistry; In vivo; Histone methyltransferase; Lysine; Histone; Gene knockdown; Chemical biology; Biochemistry; Transferase; H3K4me3; Histone H3; Transcription (linguistics); Protein–protein interaction; Cell biology; Computational biology; Biology; Gene expression; Gene; Enzyme; Genetics; Amino acid; Promoter","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":[0.0004123948,0.0005500449,0.0003864353,0.0002168808,0.0001442912,0.0002454378,0.0004527045,0.0004499352,0.0007051663],"category_scores_gemma":[0.0002181166,0.00019197,0.0002588106,0.0001614248,0.0002170377,0.0002573659,0.0001979819,0.0006678667,0.0003320106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003518387,"about_ca_system_score_gemma":0.0004190952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007322172,"about_ca_topic_score_gemma":0.001463215,"domain_scores_codex":[0.9998792,0.00002386259,0.000007357351,0.00002158539,0.00003507058,0.00003287812],"domain_scores_gemma":[0.9999032,0.00001589383,0.00002663611,0.0000112964,0.00001779027,0.00002528693],"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":[0.00008620708,0.00007547241,0.00009889621,0.00003781584,0.000007930314,0.00005073738,0.00001650095,0.0002803039,0.9964375,0.0001212969,0.00008024395,0.002707054],"study_design_scores_gemma":[0.00006277511,0.001115789,0.0006939469,0.000002921906,0.0000210492,0.0002106532,0.00000689654,0.0007735316,0.9944956,0.00003022702,0.002580979,0.000005621758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534608,0.004903915,0.03531923,0.0004504155,0.00006554932,0.0003449793,0.0009045759,0.0002554529,0.004295117],"genre_scores_gemma":[0.9801289,0.003044346,0.01184773,0.0001318749,0.00002393875,0.0001063384,0.001258388,0.00002772485,0.00343063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007322172,"threshold_uncertainty_score":0.002552748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006824531772269117,"score_gpt":0.232815037783348,"score_spread":0.2259905060110789,"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."}}