{"id":"W3020773569","doi":"10.1101/2020.04.23.057208","title":"Metabolic precision labeling enables selective probing of O-linked <i>N</i> -acetylgalactosamine glycosylation","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research; Biotechnology and Biological Sciences Research Council; Chemistry, Engineering and Medicine for Human Health, Stanford University; Medical Research Council; National Institutes of Health; Directorate for Biological Sciences; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Wellcome Trust; Francis Crick Institute; Cancer Research UK; GlaxoSmithKline","keywords":"Bioorthogonal chemistry; Glycosylation; Glycan; Glycome; Biochemistry; Chemistry; Nucleotide sugar; Monosaccharide; Glycoprotein; Computational biology; Glycosyltransferase; Click chemistry; Biology; Combinatorial chemistry; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000186806,0.0003505913,0.0001584995,0.000104007,0.0001223973,0.0003449079,0.0002553212,0.0003358741,0.0006876457],"category_scores_gemma":[0.0001526265,0.0001441732,0.0002093714,0.0001196319,0.0002866777,0.0002193845,0.0003754843,0.0005021924,0.0002697336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002862135,"about_ca_system_score_gemma":0.0001507734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003246141,"about_ca_topic_score_gemma":0.0004559731,"domain_scores_codex":[0.9998777,0.00001858777,0.000007163053,0.00003500754,0.00003553703,0.00002607742],"domain_scores_gemma":[0.9999158,0.00001403511,0.00003011218,0.00001475601,0.00001333914,0.00001188183],"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":[0.00001092281,0.000002793237,0.00003632693,0.000008378396,9.91487e-7,0.000007202304,0.000002313331,0.00004517968,0.9993495,0.0001276813,0.00001452747,0.0003941542],"study_design_scores_gemma":[0.000001625793,0.00002832019,0.0001531087,9.49695e-7,0.000001780082,0.00002801498,0.000002753556,0.0003992193,0.9985541,0.00003155004,0.0007968005,0.000001797645],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9203346,0.0006901607,0.07322194,0.0002971925,0.00006353461,0.000061978,0.000448866,0.0003743478,0.004507421],"genre_scores_gemma":[0.966379,0.0005492826,0.02972782,0.0001250607,0.00001281228,0.00005695152,0.0003648152,0.00006889833,0.002715348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006876457,"threshold_uncertainty_score":0.002300441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758954710301021,"score_gpt":0.2476191488121214,"score_spread":0.2300296017091112,"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."}}