{"id":"W2558682509","doi":"10.1021/acschembio.6b00876","title":"Catalytic Promiscuity of <i>O</i>-GlcNAc Transferase Enables Unexpected Metabolic Engineering of Cytoplasmic Proteins with 2-Azido-2-deoxy-glucose","year":2016,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Canadian Institutes of Health Research; Institute of Genetics; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Nucleotide sugar; Transferase; Biochemistry; Glycosyltransferase; Uridine diphosphate; Enzyme; Cytoplasm; Chemistry; Glycobiology; Nucleotide; N-Acetylglucosamine; Uridine; Biology; Cell biology; Glycoprotein; Gene; RNA; Glycan","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":[0.0001567336,0.0002145815,0.0003829437,0.00008986783,0.00002191244,0.000004066187,0.000300138,0.000270821,0.00003181348],"category_scores_gemma":[0.0003261648,0.0001361805,0.00009771407,0.0002148507,0.0003033011,0.000007359024,0.00009623134,0.0001175428,0.000005611573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000143767,"about_ca_system_score_gemma":0.0001422423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004399469,"about_ca_topic_score_gemma":0.0000181952,"domain_scores_codex":[0.9986352,0.00005938311,0.0003665379,0.0004179799,0.0001446265,0.000376324],"domain_scores_gemma":[0.9990795,0.00005125167,0.00009959214,0.0004448046,0.0002015731,0.0001233302],"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":[0.0004403281,0.000137562,0.00117627,0.00007526664,0.0001157576,0.000002012609,0.00002393945,0.000004602229,0.9944581,0.000414072,0.00002429028,0.003127743],"study_design_scores_gemma":[0.001690298,0.0004117862,0.0003669747,0.00004137647,0.00002368902,0.0000174919,0.000008371684,0.00001256763,0.9936135,0.00005677971,0.003567375,0.0001897575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964728,0.0005004948,0.001989246,0.0002093686,0.0000208382,0.0005167254,0.0001129132,0.00002045349,0.0001572003],"genre_scores_gemma":[0.9985328,0.0001770456,0.0008516047,0.00002186189,0.00005954582,0.0001037169,0.0001277388,0.00002628691,0.00009942077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003543084,"threshold_uncertainty_score":0.5553281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007167799265741292,"score_gpt":0.226854733798694,"score_spread":0.2196869345329527,"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."}}