{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002298999,0.00006967135,0.0001016999,0.00005248515,0.00002637168,0.00003694421,0.00006333899,0.00007665985,0.00001432159],"category_scores_gemma":[0.0000308015,0.00004903772,0.00005357753,0.00006664434,0.00002024439,0.00005071839,0.0000165655,0.0000910407,0.000002392823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001127217,"about_ca_system_score_gemma":0.00005032897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001240791,"about_ca_topic_score_gemma":8.636006e-7,"domain_scores_codex":[0.9992863,0.00001740757,0.0004336191,0.0000433402,0.0001293387,0.00009001842],"domain_scores_gemma":[0.9994777,0.000006128163,0.0001607352,0.0000672967,0.0002231231,0.00006497357],"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":[0.00005324581,0.000004518518,0.00001091193,0.00001742387,0.00002086229,6.355866e-8,0.0002125149,0.03995994,0.9571505,0.00002320104,0.0001276398,0.002419221],"study_design_scores_gemma":[0.0004048401,0.0001314716,0.00001633663,0.00004832988,0.00001151154,0.00003256841,0.0003090398,0.03565535,0.9622295,0.000325283,0.0007527577,0.00008302095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620495,0.0001835936,0.0372006,0.000300278,0.00002335418,0.0001615046,0.000008460834,0.000001831081,0.00007082464],"genre_scores_gemma":[0.9971922,0.00004497698,0.002573034,0.00007867759,0.00006486419,0.000005046246,0.00003129882,0.000003938322,0.000005947084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03514266,"threshold_uncertainty_score":0.19997,"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."}}