{"id":"W3203809815","doi":"10.1039/d1ob01246k","title":"Discovery of β-<i>N</i>-acetylglucosaminidases from screening metagenomic libraries and their use as thioglycoligase mutants","year":2021,"lang":"en","type":"article","venue":"Organic & Biomolecular Chemistry","topic":"Studies on Chitinases and Chitosanases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Glycomics Network; Deutsche Akademie der Naturforscher Leopoldina - Nationale Akademie der Wissenschaften; Austrian Science Fund","keywords":"Metagenomics; Mutant; Chemistry; Biochemistry; Glycosyl; Glycoside hydrolase; Cleave; Glycoconjugate; Computational biology; Directed evolution; Enzyme; Thio-; Peptide library; Active site; Gene; Protein engineering; Peptide sequence; Biology; Stereochemistry","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":[0.0002593602,0.0006416821,0.0002774005,0.0003664262,0.0001598285,0.000551723,0.0003031702,0.0003094698,0.0009871663],"category_scores_gemma":[0.0004056838,0.0002083152,0.0004699931,0.0003958183,0.0002046807,0.0002351573,0.0003264604,0.0006216034,0.0005125673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002875359,"about_ca_system_score_gemma":0.0003369295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004663942,"about_ca_topic_score_gemma":0.001036122,"domain_scores_codex":[0.9997806,0.00003337667,0.00002144777,0.00004279995,0.00008361871,0.00003812236],"domain_scores_gemma":[0.9998192,0.00004721127,0.00004361059,0.00002815663,0.00002928452,0.00003246587],"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":[0.00002765733,0.00001273018,0.0001320982,0.00001578236,0.000004183705,0.00004184971,0.000009032579,0.00006025492,0.9983755,0.00009841238,0.00002323938,0.001199313],"study_design_scores_gemma":[0.000003875745,0.00009383115,0.001191012,0.00000332778,0.00001241662,0.0001835859,0.0000224555,0.0005550716,0.9968245,0.00007004558,0.001035373,0.000004525426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.916211,0.00063743,0.07298371,0.0005266266,0.00008393187,0.0002875068,0.003874053,0.0007708719,0.004624993],"genre_scores_gemma":[0.9423425,0.001507506,0.04452357,0.0001416412,0.00001417026,0.0001508199,0.005621426,0.0002237863,0.005474558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009871663,"threshold_uncertainty_score":0.003302395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009281011807071547,"score_gpt":0.2100469965264792,"score_spread":0.2007659847194076,"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."}}