{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001718571,0.0001608912,0.0001706393,0.0000203656,0.00002201058,0.00001043569,0.0001367311,0.0001549898,0.000007910007],"category_scores_gemma":[0.0001152853,0.0001554385,0.00007006973,0.0001035381,0.000187863,0.000008870769,0.00008144302,0.0001206723,0.000003776134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005573012,"about_ca_system_score_gemma":0.0001610532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002745659,"about_ca_topic_score_gemma":0.00000349225,"domain_scores_codex":[0.9988742,0.00002133869,0.0002620808,0.0002978274,0.000331867,0.0002127241],"domain_scores_gemma":[0.999304,0.0000100506,0.0001463693,0.0003420079,0.00008479324,0.0001127787],"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":[0.0001615352,0.00002775728,0.0005526312,0.0000523337,0.00005239272,0.000007880259,0.00008122213,0.0001525769,0.9746724,0.000001853588,0.02386831,0.0003691511],"study_design_scores_gemma":[0.0009854744,0.00008069875,0.0003116163,0.00005346764,0.00004176198,0.00007684847,0.0001498753,0.00001635583,0.9909526,0.00001173052,0.007151711,0.0001678778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961344,0.0006362637,0.0005037336,0.001665323,0.0002662121,0.00009258934,0.00001459224,0.00001251199,0.0006743727],"genre_scores_gemma":[0.9972959,0.00002394827,0.0001281301,0.0003739676,0.001422287,0.00001111008,0.0002180117,0.00002221116,0.0005044341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0167166,"threshold_uncertainty_score":0.6338596,"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."}}