{"id":"W4366292937","doi":"10.1101/2023.04.17.537126","title":"RNA editing of AZIN1 coding sites is catalyzed by ADAR1 p150 after splicing","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Astellas Foundation for Research on Metabolic Disorders; Senri Life Science Foundation; Astellas Pharma; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; Japan Intractable Diseases Research Foundation; Japan Agency for Medical Research and Development; Uehara Memorial Foundation; Takeda Science Foundation","keywords":"RNA editing; ADAR; RNA splicing; Intron; Biology; RNA; Exon; RNA silencing; Messenger RNA; Molecular biology; Coding region; Cell biology; Genetics; Gene; RNA interference","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001745081,0.000321197,0.0002636623,0.0001699027,0.000117571,0.0002856045,0.0001807521,0.0002496102,0.0008804204],"category_scores_gemma":[0.000117499,0.0001372011,0.0003105845,0.00008716471,0.0001857071,0.0001649531,0.0001371642,0.0004934992,0.000437478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002524699,"about_ca_system_score_gemma":0.00007282294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001809668,"about_ca_topic_score_gemma":0.0002275806,"domain_scores_codex":[0.9997934,0.0000296562,0.00001786094,0.00007818915,0.00004975696,0.00003119979],"domain_scores_gemma":[0.999835,0.00002665894,0.00006920101,0.00001736164,0.00001875577,0.0000329642],"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":[0.0000199053,0.000002123393,0.00006897122,0.000007050081,0.000001090543,0.00001571882,0.000002870776,0.000006860747,0.9997008,0.00001564646,0.000005476567,0.0001535862],"study_design_scores_gemma":[0.000004445119,0.00008225475,0.003116859,0.00000232486,0.000007449954,0.0001744877,0.000007891535,0.0004069303,0.9953777,0.00001752504,0.0008001092,0.000002124639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897572,0.001803689,0.006705208,0.00008038353,0.00003956116,0.00002210031,0.0002976758,0.0001333776,0.001160849],"genre_scores_gemma":[0.9952047,0.0002845649,0.002437304,0.0000513353,0.00001428942,0.00001711767,0.0004137558,0.00002849607,0.001548472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008804204,"threshold_uncertainty_score":0.002945304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191355910165562,"score_gpt":0.2290305781870006,"score_spread":0.2171170190853449,"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."}}