{"id":"W4317815049","doi":"10.3389/fmolb.2023.1096261","title":"Dual incorporation of non-canonical amino acids enables production of post-translationally modified selenoproteins","year":2023,"lang":"en","type":"article","venue":"Frontiers in Molecular Biosciences","topic":"Selenium in Biological Systems","field":"Nursing","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; Yale University; U.S. Department of Energy","keywords":"Selenocysteine; Genetic code; Amino acid; Selenoprotein; Translation (biology); Stop codon; Mutagenesis; Lysine; Biology; Function (biology); Biochemistry; Protein biosynthesis; Computational biology; Genetics; Gene; Mutation; Cysteine; Glutathione; Messenger RNA","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":[0.0008961303,0.0001368712,0.0002895813,0.0003962698,0.00007173579,0.000018143,0.0002854764,0.000165779,0.000003217707],"category_scores_gemma":[0.0003707141,0.0001160753,0.0000748345,0.001669231,0.0004965,0.0001693537,0.00003840092,0.0001089038,0.000002540642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005612485,"about_ca_system_score_gemma":0.00008867768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001931829,"about_ca_topic_score_gemma":0.00003853205,"domain_scores_codex":[0.9980116,0.0001876892,0.0005289032,0.0004268439,0.0005758872,0.0002690562],"domain_scores_gemma":[0.9992763,0.00003381768,0.000261213,0.0002127237,0.0001712334,0.00004468482],"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":[0.0001115666,0.00007514092,0.03761992,0.0000598717,0.000009496312,0.000002082535,0.0003745145,0.002225007,0.9573927,0.0001773917,0.0001719774,0.001780364],"study_design_scores_gemma":[0.000347059,0.0005243559,0.141496,0.00008938248,0.00001555156,0.000003818116,0.0007871373,0.007357557,0.8465788,0.002501626,0.00008964734,0.000209024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987054,0.0001314088,0.009122808,0.0008669246,0.002010836,0.0005740693,0.00001480193,0.00004736187,0.0001777611],"genre_scores_gemma":[0.985094,0.000008848727,0.01469675,0.00002901881,0.00005706371,0.00002917451,0.00004053747,0.000009124758,0.0000354888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1108138,"threshold_uncertainty_score":0.4733413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01453735516017823,"score_gpt":0.250358063102206,"score_spread":0.2358207079420278,"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."}}