{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001434986,0.0002794317,0.0001940758,0.0001231868,0.0001296982,0.0006470577,0.000205752,0.0002881679,0.0003742026],"category_scores_gemma":[0.0002123799,0.0001251083,0.0001940414,0.0002960519,0.0002154328,0.0002715303,0.0001850095,0.0004588928,0.0003665953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004088343,"about_ca_system_score_gemma":0.0002137151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907569,"about_ca_topic_score_gemma":0.00195068,"domain_scores_codex":[0.9998428,0.00003823353,0.00001082802,0.00004121135,0.00003620281,0.00003063122],"domain_scores_gemma":[0.9999214,0.00001523488,0.00002321526,0.00001127514,0.00001633568,0.00001242939],"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":[0.0001620171,0.00001420947,0.0007115937,0.00003191526,0.000004020377,0.00004078382,0.0000232927,0.0001241878,0.9971588,0.0001452866,0.00004331308,0.001540528],"study_design_scores_gemma":[0.000002030516,0.00006516073,0.004538903,0.000007334107,0.000008931623,0.0001114291,0.00005473986,0.000890105,0.9923242,0.00005349339,0.001935526,0.000008076439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892874,0.000767753,0.005929715,0.000123866,0.00002402267,0.00002407758,0.001236315,0.00007151806,0.002535315],"genre_scores_gemma":[0.9815361,0.0009150461,0.01198704,0.0001282174,0.000007930817,0.00002467361,0.002776894,0.00007147584,0.002552517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001907569,"threshold_uncertainty_score":0.003792942,"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."}}