{"id":"W2976557049","doi":"10.1016/j.mcat.2019.110631","title":"S-glycosyltransferase UGT74B1 can glycosylate both S- and O-acceptors: mechanistic insights through substrate specificity","year":2019,"lang":"en","type":"article","venue":"Molecular Catalysis","topic":"Genomics, phytochemicals, and oxidative stress","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"Région Normandie; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; Indian National Science Academy","keywords":"Glycosylation; Chemistry; Nucleophile; Deprotonation; Sulfur; Catalysis; Enzyme kinetics; Stereochemistry; Substrate (aquarium); Glycosyltransferase; Active site; Combinatorial chemistry; Enzyme; Biochemistry; Organic chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008960526,0.0004000152,0.0004112442,0.00007223147,0.0001076467,0.00008304747,0.0003274074,0.0002230173,0.0001026352],"category_scores_gemma":[0.00003529606,0.0004010983,0.0002268538,0.0002058776,0.0001384408,0.00001232557,0.0001482408,0.0001688913,0.00004918383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003559405,"about_ca_system_score_gemma":0.00006585531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001698784,"about_ca_topic_score_gemma":0.0001548662,"domain_scores_codex":[0.9979698,0.00008363116,0.0003472746,0.0009313016,0.0002298044,0.0004381677],"domain_scores_gemma":[0.9988035,0.00001376852,0.0001102121,0.0007912254,0.00009856288,0.0001827111],"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":[0.00009874911,0.00008977324,0.0004984602,0.00004722054,0.0002369758,0.00002732466,0.0001812514,0.00005472726,0.9977665,0.000596099,0.00006616968,0.0003367632],"study_design_scores_gemma":[0.0007571291,0.0002209025,0.0004715801,0.00001635329,0.0001266447,0.00001382834,0.0001532173,0.00006630651,0.9912567,0.001312699,0.005077194,0.0005274993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882149,0.001440308,0.008134478,0.00009962993,0.0001383965,0.000360999,0.0001033302,0.00002668723,0.001481243],"genre_scores_gemma":[0.9969487,0.0004819238,0.0008211173,0.0003698747,0.0001076635,0.00002751862,0.0008907593,0.00006141664,0.0002910289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008733769,"threshold_uncertainty_score":0.9998441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00563372148968586,"score_gpt":0.2072415960818209,"score_spread":0.201607874592135,"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."}}