{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003415988,0.0004492508,0.0004408113,0.0001530542,0.0001022309,0.0001006049,0.0003884964,0.0005057835,0.00006299886],"category_scores_gemma":[0.0002592208,0.0005098571,0.0002431991,0.0002475097,0.000123633,0.00001145377,0.0006058336,0.000264221,0.00003933476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000577372,"about_ca_system_score_gemma":0.0002788328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005332184,"about_ca_topic_score_gemma":0.000003951322,"domain_scores_codex":[0.9976708,0.00007457531,0.0005665498,0.0009125411,0.0003369679,0.0004386012],"domain_scores_gemma":[0.9977976,0.0000244668,0.0004735689,0.001044351,0.0003968232,0.0002631657],"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":[0.00006379661,0.0000552301,0.01707762,0.0003783376,0.0001422524,0.00001363158,0.000008087944,0.00003279336,0.976439,0.00001961132,0.005767444,0.000002179681],"study_design_scores_gemma":[0.0005268715,0.00003155132,0.03280461,0.0002854758,0.0001093784,1.040671e-8,0.000007040988,0.0003145792,0.962505,0.000001261464,0.002857861,0.0005563563],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949722,0.001558187,0.001119528,0.000198489,0.000562751,0.0003763845,0.001079854,0.0001194655,0.00001308586],"genre_scores_gemma":[0.9976543,0.0001893329,0.0008075795,0.0002843317,0.0007512826,0.0001084499,0.00001457354,0.0001382375,0.0000519286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01572699,"threshold_uncertainty_score":0.9997353,"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."}}