{"id":"W2019375616","doi":"10.1002/cbic.201402179","title":"Harnessing the Synthetic Capabilities of Glycopeptide Antibiotic Tailoring Enzymes: Characterization of the UK‐68,597 Biosynthetic Cluster","year":2014,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; McMaster University","keywords":"Glycopeptide; Biochemistry; Enzyme; Glycosyltransferase; Glycopeptide antibiotic; Biosynthesis; Chemical space; Methyltransferase; Gene cluster; Biology; Chemistry; Computational biology; Bacteria; Antibiotics; Drug discovery; Genetics; Gene; Vancomycin; Methylation","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":[0.0001664374,0.0002883754,0.0002552139,0.0001869532,0.0001076929,0.0003270866,0.0001403019,0.000172499,0.0002633249],"category_scores_gemma":[0.000272621,0.00009257213,0.0002349606,0.0003149912,0.0001252264,0.0002402112,0.0002546425,0.0003539022,0.0002575878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001708211,"about_ca_system_score_gemma":0.0003233862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007591351,"about_ca_topic_score_gemma":0.0009302265,"domain_scores_codex":[0.9998782,0.00002264117,0.00001152658,0.00002011981,0.00004136026,0.00002614958],"domain_scores_gemma":[0.9998952,0.00001903803,0.00003079064,0.00001305121,0.00002074279,0.00002120826],"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":[0.00005109577,0.00001857223,0.0006237771,0.00003378081,0.000003622975,0.00006660078,0.00002112224,0.0002060714,0.9951333,0.0000649233,0.00001865383,0.003758279],"study_design_scores_gemma":[0.000008773315,0.0002249076,0.005119144,0.00001055319,0.0000279296,0.0002823409,0.00009819292,0.001441551,0.9888619,0.00009688045,0.0038173,0.00001055096],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937669,0.0005373061,0.004128064,0.00007347338,0.000009287741,0.00003660825,0.0003230634,0.00004589864,0.001079462],"genre_scores_gemma":[0.9787933,0.0009391043,0.01748045,0.00004042561,0.000005695922,0.00003250372,0.00162409,0.00004012671,0.001044264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007591351,"threshold_uncertainty_score":0.001509428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01000358339868325,"score_gpt":0.2130147947298987,"score_spread":0.2030112113312154,"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."}}