{"id":"W3211675854","doi":"10.1111/febs.16269","title":"Mosaic translation hypothesis: chimeric polypeptides produced via multiple ribosomal frameshifting as a basis for adaptability","year":2021,"lang":"en","type":"article","venue":"FEBS Journal","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"Translational frameshift; Open reading frame; Reading frame; Biology; Computational biology; Translation (biology); Ribosome; Proteome; Genetics; Genome; Stop codon; Mechanism (biology); Transfer RNA; RNA; Messenger RNA; Gene; Peptide sequence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135516,0.0006526224,0.0007457929,0.0006350938,0.0006382254,0.0008779446,0.0009396506,0.001516663,0.001171678],"category_scores_gemma":[0.001170108,0.0002951822,0.000762197,0.0003000139,0.002357455,0.002858049,0.001300274,0.001182629,0.0007025667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004713067,"about_ca_system_score_gemma":0.0003788334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009895588,"about_ca_topic_score_gemma":0.00006106689,"domain_scores_codex":[0.999358,0.00008324964,0.00004412686,0.0002779435,0.0001148542,0.0001218776],"domain_scores_gemma":[0.9991761,0.0002273224,0.0002086743,0.0001592203,0.00006418493,0.0001644744],"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":[0.0005023221,0.0001170163,0.01053029,0.0004017054,0.00007568352,0.006285611,0.0005982314,0.001872119,0.8681465,0.09049777,0.0006503229,0.02032247],"study_design_scores_gemma":[0.0002132587,0.002790011,0.059492,0.0002242456,0.0003357786,0.03413593,0.001878543,0.04395185,0.5633054,0.2519309,0.04140668,0.0003353987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8609985,0.008964967,0.1124102,0.003612075,0.0004829413,0.0001200027,0.0001606029,0.0006923613,0.01255836],"genre_scores_gemma":[0.9695276,0.001767257,0.02504876,0.0007064021,0.0002254191,0.0001038434,0.0001723103,0.00007794503,0.002370459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001516663,"threshold_uncertainty_score":0.007166862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829973735303834,"score_gpt":0.253771319057306,"score_spread":0.2254715817042676,"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."}}