{"id":"W2986543717","doi":"10.1101/829689","title":"A small molecule antagonist for the Tudor domain of SMN disrupts the interaction between SMN and RNAP II","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neurogenetic and Muscular Disorders Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"National Institute of General Medical Sciences; Western Economic Diversification Canada; Canadian Institutes of Health Research; Biological and Environmental Research; National Natural Science Foundation of China; Novartis Pharma; Ontario Genomics Institute; National Research Council Canada; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Ontario Ministry of Research, Innovation and Science; Ontario Genomics; Fundação de Amparo à Pesquisa do Estado de São Paulo; Genome Canada; Pfizer; University of Saskatchewan; Natural Sciences and Engineering Research Council of Canada; Canadian Light Source; University of Chicago; Argonne National Laboratory; U.S. Department of Energy","keywords":"Spinal muscular atrophy; Biology; Cell biology; Cas9; Antagonist; CRISPR; Chemistry; Genetics; Receptor; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007818355,0.0003656416,0.0005696748,0.0001358684,0.0002954319,0.00009710979,0.0004472182,0.0002639606,0.00001865318],"category_scores_gemma":[0.0002535237,0.000239074,0.0002542781,0.0002377855,0.000297228,0.00003364376,0.0007012215,0.000743904,0.000005906466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007826205,"about_ca_system_score_gemma":0.0004649195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008715851,"about_ca_topic_score_gemma":0.000006030649,"domain_scores_codex":[0.9979279,0.0001377929,0.0004483323,0.0006580881,0.0003958093,0.0004320478],"domain_scores_gemma":[0.9975519,0.0003107931,0.000301655,0.001293062,0.0003814162,0.0001611744],"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":[0.0007491619,0.0005416568,0.05783223,0.003585386,0.002193348,0.00005245994,0.000192866,0.00004465501,0.9325985,0.0007891746,0.001262261,0.0001582799],"study_design_scores_gemma":[0.005384733,0.001194493,0.4047915,0.001329239,0.001760754,6.316654e-7,0.0002068421,0.001423912,0.5213274,0.00002219689,0.06150838,0.001049914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875571,0.002644564,0.003415208,0.002410936,0.0004000575,0.003299636,0.0001916247,0.00005070534,0.00003019078],"genre_scores_gemma":[0.9975355,0.0007343653,0.0007103368,0.0002071508,0.0003108491,0.0003581921,0.000001158431,0.00009735038,0.00004514792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4112712,"threshold_uncertainty_score":0.9749157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03089467472460591,"score_gpt":0.2801180821522116,"score_spread":0.2492234074276057,"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."}}