{"id":"W3109714884","doi":"10.1101/2020.12.04.412569","title":"A First-in-class, Highly Selective and Cell-active Allosteric Inhibitor of Protein Arginine Methyltransferase 6 (PRMT6)","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Cancer-related gene regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; Ontario Institute for Cancer Research; University of Toronto","funders":"Ontario Genomics; National Institutes of Health; Ontario Ministry of Research, Innovation and Science; Fundação de Amparo à Pesquisa do Estado de São Paulo; Genome Canada; Eli Lilly and Company; Icahn School of Medicine at Mount Sinai; Pfizer; Novartis Pharma; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA","keywords":"Allosteric regulation; Methyltransferase; Chemistry; Allosteric modulator; Enzyme; Enantiomer; Arginine; Epigenetics; Biochemistry; Methylation; Stereochemistry; Amino acid; Gene","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001812481,0.0005174019,0.0005918565,0.0001915989,0.00005593874,0.00004065226,0.000248084,0.0007167101,0.000007739566],"category_scores_gemma":[0.0001079828,0.0006030333,0.0001377379,0.0004443308,0.0001346201,0.00001279963,0.0003180834,0.0005367189,0.000003698104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168394,"about_ca_system_score_gemma":0.0006067408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001165083,"about_ca_topic_score_gemma":0.00004620978,"domain_scores_codex":[0.9975442,0.0001537136,0.0005422505,0.00113767,0.0002501158,0.0003721098],"domain_scores_gemma":[0.9984724,0.00002082406,0.0003672927,0.0006142835,0.0003325156,0.0001926859],"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":[0.0004334751,0.0001207759,0.0006549891,0.0005556283,0.0001739154,0.00001362715,0.00002777548,0.0003702917,0.9975473,0.00002430006,0.00007310237,0.000004851918],"study_design_scores_gemma":[0.001200463,0.0003559374,0.01486484,0.0002939099,0.00009345156,3.091619e-8,0.000005443518,0.0003473375,0.980353,0.000002792959,0.0019128,0.0005699826],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940724,0.002381067,0.001004259,0.0004055364,0.0002625002,0.001503671,0.0003093044,0.00004981104,0.0000114193],"genre_scores_gemma":[0.9966776,0.0004706735,0.001985033,0.00005253902,0.0003618048,0.0003278746,0.000003886827,0.0001150709,0.000005462747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01719426,"threshold_uncertainty_score":0.9996421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007218981635250513,"score_gpt":0.2018740814353661,"score_spread":0.1946550998001156,"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."}}