{"id":"W2767741749","doi":"10.1038/s41467-017-01458-8","title":"RNA editing by ADAR1 leads to context-dependent transcriptome-wide changes in RNA secondary structure","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Flight Attendant Medical Research Institute; Canadian Institutes of Health Research; Israeli Centers for Research Excellence; Israel Science Foundation; Bar-Ilan University; Tel Aviv University","keywords":"RNA editing; RNA silencing; RNA; Biology; ADAR; Nucleic acid structure; Intron; Riboswitch; Ribosomal RNA; Guide RNA; Context (archaeology); Computational biology; Non-coding RNA; Genetics; Cell biology; RNA interference; Gene; Genome editing; CRISPR","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":[],"consensus_categories":[],"category_scores_codex":[0.0001264375,0.0001425917,0.0001397963,0.00005967603,0.0003997003,0.00009285253,0.001232578,0.0003118769,0.00005654932],"category_scores_gemma":[0.0003074633,0.0001452338,0.00006819508,0.00005313592,0.0001063425,0.00001320396,0.0002790763,0.0004759862,0.000005475948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002631916,"about_ca_system_score_gemma":0.00006993095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004448913,"about_ca_topic_score_gemma":0.007445436,"domain_scores_codex":[0.9991764,0.00007744809,0.0001649125,0.0002506778,0.0001398937,0.000190611],"domain_scores_gemma":[0.9976099,0.00002252004,0.0001046813,0.002023173,0.0001015142,0.0001382021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006719198,0.000107704,0.01836068,0.00001870816,0.00005345974,0.00000198909,0.0002407894,0.00001736264,0.8911445,0.0007044772,0.06356254,0.02572057],"study_design_scores_gemma":[0.001545239,0.00008968532,0.1068161,0.000052254,0.00003720248,0.000004578769,0.0003712949,0.00005775264,0.1511519,0.0001608127,0.7392805,0.0004327101],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9368045,0.01943099,0.0001333406,0.0334256,0.0004632287,0.0005048916,0.0007241859,0.0000327239,0.008480581],"genre_scores_gemma":[0.9941972,0.0002966527,0.0004534432,0.003540763,0.0001379835,0.00003439598,0.0005339881,0.00002037856,0.0007851387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7399927,"threshold_uncertainty_score":0.5922462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357898376352205,"score_gpt":0.2930651880920378,"score_spread":0.2794862043285157,"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."}}