{"id":"W4317490091","doi":"10.1016/j.jbc.2023.102931","title":"A “biphasic glycosyltransferase high-throughput screen” identifies novel anthraquinone glycosides in the diversification of phenolic natural products","year":2023,"lang":"en","type":"article","venue":"Journal of Biological Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"PROTEO; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Concordia University","keywords":"Aglycone; Glycosylation; Chemistry; Natural product; Glycoside; Glycosyltransferase; Anthraquinones; Moiety; High-throughput screening; Biochemistry; Combinatorial chemistry; Enzyme; Stereochemistry; Biology","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":[0.0002459907,0.0005407584,0.0003990742,0.0004584962,0.000152436,0.0003121485,0.0003118695,0.0003916162,0.0010593],"category_scores_gemma":[0.0002171188,0.0001587194,0.0003949599,0.0003547568,0.0001583773,0.000223018,0.0002332844,0.0004552076,0.0005259169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001874666,"about_ca_system_score_gemma":0.0002542633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00048021,"about_ca_topic_score_gemma":0.001189028,"domain_scores_codex":[0.9997727,0.00003762338,0.00001671245,0.00005987829,0.00007988857,0.00003320141],"domain_scores_gemma":[0.9998828,0.00002562245,0.00002288949,0.00001638721,0.00002403296,0.00002823436],"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":[0.00009028056,0.0001218665,0.0004605101,0.00002934939,0.000009560828,0.00005952971,0.00000748023,0.000182015,0.9956801,0.00003321892,0.000122484,0.003203422],"study_design_scores_gemma":[0.00005865081,0.002700078,0.00957062,0.000009630159,0.00006881777,0.000592806,0.00003125753,0.003496203,0.9803878,0.00006535319,0.002999329,0.00001943217],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842139,0.00104713,0.01002703,0.0002003315,0.00003196816,0.0003133151,0.001615629,0.0003459818,0.00220473],"genre_scores_gemma":[0.9773242,0.001141712,0.01311063,0.0002079876,0.00001936454,0.0001573446,0.0038642,0.00004303575,0.004131586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0010593,"threshold_uncertainty_score":0.003543675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03923578838905564,"score_gpt":0.2944388827253275,"score_spread":0.2552030943362719,"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."}}