{"id":"W4307160306","doi":"10.3389/fmolb.2022.992748","title":"Engineered bacterial host for genetic encoding of physiologically stable protein nitration","year":2022,"lang":"en","type":"article","venue":"Frontiers in Molecular Biosciences","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Canada Research Chairs; Technische Universität Berlin; Keio University; Deutsche Forschungsgemeinschaft","keywords":"Nitration; Amino acid; Chemistry; Escherichia coli; Genetic code; Protein engineering; Biomolecule; Synthetic biology; Tyrosine; Biochemistry; Computational biology; Biology; Gene; Enzyme","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":[0.0003004854,0.0005732217,0.0005044037,0.0004989975,0.000213634,0.0004203279,0.0005500147,0.0007173024,0.001389776],"category_scores_gemma":[0.0004097623,0.0002954942,0.0003740577,0.0005667498,0.0002472892,0.0002638248,0.0006139641,0.001270586,0.001545185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004136334,"about_ca_system_score_gemma":0.000392411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006363728,"about_ca_topic_score_gemma":0.0007595327,"domain_scores_codex":[0.9994949,0.00008253601,0.00008078531,0.00008294221,0.0001743067,0.00008453891],"domain_scores_gemma":[0.9995564,0.00009776239,0.0001462068,0.00008514863,0.00004569089,0.00006887173],"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":[0.0000425772,0.00007133162,0.000114343,0.00004012151,0.00000541184,0.00005929168,0.00002233629,0.0001005417,0.9981813,0.0002617958,0.00005089267,0.001050147],"study_design_scores_gemma":[0.00001667254,0.0001559298,0.0009564157,0.00001344436,0.0000172041,0.0002328364,0.00002939495,0.001564317,0.9917722,0.00006185032,0.005165305,0.00001434472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9130011,0.0009174424,0.07626123,0.0003767968,0.0002490087,0.0004223901,0.003491431,0.001161577,0.004119019],"genre_scores_gemma":[0.9083319,0.001046283,0.0716975,0.0001236648,0.00002923122,0.0003824082,0.006574479,0.0005433026,0.01127116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001389776,"threshold_uncertainty_score":0.004649222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008481548095633722,"score_gpt":0.2421609142304842,"score_spread":0.2336793661348505,"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."}}