{"id":"W4390232974","doi":"10.1021/acschembio.3c00501","title":"Metabolic Usage and Glycan Destinations of GlcNAz in <i>E. coli</i>","year":2023,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Sick Kids Foundation; Canadian Institutes of Health Research; Hospital for Sick Children; University of Toronto","keywords":"Glycan; Biochemistry; Glycosyltransferase; Escherichia coli; Peptidoglycan; Bacteria; Metabolic engineering; Bacterial cell structure; Biofilm; Metabolic pathway; Polysaccharide; Cytosol; Chemistry; Lipopolysaccharide; Cell wall; Biology; Enzyme; Microbiology; Glycoprotein; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001872115,0.00007444444,0.0001330009,0.00009030048,0.00002085228,0.000004129251,0.0001186823,0.000150652,0.00001700122],"category_scores_gemma":[0.0003939166,0.00006885672,0.00002656727,0.0003113259,0.0001740107,0.00000201283,0.0001494844,0.00008110321,0.00001258389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004181524,"about_ca_system_score_gemma":0.00003736063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004352316,"about_ca_topic_score_gemma":0.00002740574,"domain_scores_codex":[0.9993001,0.00005409508,0.0001686341,0.0002182689,0.00005489862,0.0002040361],"domain_scores_gemma":[0.9996608,0.0000436277,0.0000333033,0.0001522074,0.00005312387,0.00005686518],"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":[0.00003234464,0.00002370411,0.008862794,0.000008250598,0.000008589418,0.000001226446,0.00001487486,0.000001751554,0.9860563,0.001181955,0.0002769866,0.00353128],"study_design_scores_gemma":[0.0005572142,0.00007398822,0.01190823,0.00000446434,0.000003212017,0.000005156558,0.00001914817,0.00005684791,0.9611411,0.0007667675,0.02537895,0.00008489775],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981803,0.0003365013,0.00004240991,0.0004099579,0.00002169615,0.0001307569,0.00002748891,0.00001116844,0.0008397638],"genre_scores_gemma":[0.9988043,0.0003782723,0.0002193339,0.0001114975,0.00003543398,0.00003405441,0.0002099231,0.000007329174,0.0001998151],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02510196,"threshold_uncertainty_score":0.2807896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01725393238575339,"score_gpt":0.3020637363861758,"score_spread":0.2848098040004224,"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."}}