{"id":"W2330712912","doi":"10.1021/ml500467h","title":"Discovery of a Dual PRMT5–PRMT7 Inhibitor","year":2015,"lang":"en","type":"article","venue":"ACS Medicinal Chemistry Letters","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Structural Genomics Consortium; University of Toronto","funders":"Ontario Genomics Institute; Janssen Research and Development; Ontario Ministry of Research, Innovation and Science; Ontario Genomics; Wellcome Trust; Genome Canada; Takeda Pharmaceutical Company; AbbVie; Wellcome; GlaxoSmithKline; Ministero dello Sviluppo Economico; Bayer; Pfizer; Eli Lilly and Company; Ontario Ministry of Economic Development and Innovation; Novartis Foundation; Boehringer Ingelheim","keywords":"Protein arginine methyltransferase 5; Methyltransferase; Chromatin; Cell biology; RNA splicing; Methylation; Biology; Chemistry; Gene; Biochemistry; RNA","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":[0.0001852529,0.0003414049,0.00030149,0.0002493804,0.0001332302,0.0002361277,0.0004354975,0.0003415468,0.00119337],"category_scores_gemma":[0.0001181597,0.0001746297,0.0002474723,0.0001458882,0.0001482534,0.0001807782,0.0001938254,0.0005518242,0.00049088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029168,"about_ca_system_score_gemma":0.0002733206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003291467,"about_ca_topic_score_gemma":0.0009120487,"domain_scores_codex":[0.9999003,0.00001408503,0.000006370641,0.00002377128,0.00002866262,0.00002684433],"domain_scores_gemma":[0.9999462,0.000007818899,0.000009629892,0.000003843629,0.00001228859,0.00002016425],"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":[0.0002451901,0.0001334268,0.0001793915,0.0001069371,0.00002433877,0.0001340066,0.00002125409,0.0005744054,0.9862573,0.0008184842,0.0003403903,0.01116491],"study_design_scores_gemma":[0.0001837638,0.001499493,0.0005583043,0.00001085486,0.00004942984,0.0003526735,0.00001204545,0.003467508,0.9834501,0.0001422389,0.01026263,0.00001096749],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9492913,0.006718354,0.03012864,0.0006346524,0.0001309034,0.0004295289,0.0008545869,0.0004137428,0.01139827],"genre_scores_gemma":[0.9761004,0.003018136,0.01465348,0.000236664,0.00002228299,0.0001226015,0.0008659785,0.0000315691,0.004948754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00119337,"threshold_uncertainty_score":0.00399226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009988866446387355,"score_gpt":0.2357031851292229,"score_spread":0.2257143186828355,"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."}}