{"id":"W2013770157","doi":"10.1021/ci300596x","title":"Strategy to Target the Substrate Binding site of SET Domain Protein Methyltransferases","year":2013,"lang":"en","type":"article","venue":"Journal of Chemical Information and Modeling","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of New Brunswick; Structural Genomics Consortium; Ontario Institute for Cancer Research; University of Toronto","funders":"Ministero dello Sviluppo Economico; Government of Ontario; Eli Lilly Canada; Wellcome Trust; Eli Lilly and Company","keywords":"Methyltransferase; Lysine; Computational biology; Chromatin; Methylation; Domain (mathematical analysis); Substrate (aquarium); Chemistry; Biochemistry; Biology; Gene; Amino acid","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":[0.0001788843,0.0004662403,0.0003719055,0.0002508493,0.000164515,0.0003119242,0.0004914002,0.0003792374,0.001399843],"category_scores_gemma":[0.0001874958,0.0002122866,0.0002875482,0.0002129304,0.0002240888,0.0002866209,0.00035488,0.0007144361,0.0006624325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003529473,"about_ca_system_score_gemma":0.0002890649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002536013,"about_ca_topic_score_gemma":0.0005078476,"domain_scores_codex":[0.9998766,0.00001768485,0.00000659953,0.00002891858,0.00003674343,0.00003349575],"domain_scores_gemma":[0.9999139,0.00001861248,0.00002315833,0.00001272381,0.00001471919,0.00001689789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001208038,0.00006728073,0.0001321617,0.00009780114,0.00001737355,0.0001071173,0.00003028704,0.002542767,0.9868637,0.001455606,0.0001655946,0.008399472],"study_design_scores_gemma":[0.00002291257,0.0004297674,0.0001321274,0.000004005857,0.00001728824,0.0001111552,0.000007351973,0.002277792,0.9930686,0.0001678675,0.003751708,0.000009451785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8142272,0.00346451,0.1679177,0.0005172322,0.0001460949,0.0004800789,0.0005890273,0.0006610172,0.01199727],"genre_scores_gemma":[0.9465016,0.00279307,0.04256045,0.0003038653,0.00002355684,0.0002347672,0.0004457445,0.00006837643,0.007068578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001399843,"threshold_uncertainty_score":0.004682958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453229638276203,"score_gpt":0.2513610294206199,"score_spread":0.2368287330378578,"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."}}