{"id":"W4294295640","doi":"10.1021/jacs.2c04477","title":"Development of a GalNAc-Tyrosine-Specific Monoclonal Antibody and Detection of Tyrosine <i>O</i>-GalNAcylation in Numerous Human Tissues and Cell Lines","year":2022,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Basic Energy Sciences; National Institute of General Medical Sciences; College of Engineering, Michigan State University; Office of Science; National Cancer Institute; National Institutes of Health; University of Alberta; Universität Basel; Michigan State University; U.S. Department of Energy","keywords":"Chemistry; Glycosylation; Monoclonal antibody; Biochemistry; Tyrosine; Antibody; Cell; Cell culture; Epitope; Biology; Immunology","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":[0.0005032379,0.0005979277,0.0004712658,0.0004753986,0.0001903899,0.0002697344,0.0005642583,0.0007466666,0.0012313],"category_scores_gemma":[0.0002481842,0.0005098911,0.0005304929,0.0003541589,0.000142287,0.0002073049,0.0003360389,0.0008088406,0.001016778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003615111,"about_ca_system_score_gemma":0.0003218119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001068688,"about_ca_topic_score_gemma":0.001547509,"domain_scores_codex":[0.9996921,0.000045755,0.00002752393,0.00008504251,0.00008137932,0.00006822698],"domain_scores_gemma":[0.9998819,0.00001618892,0.00001747923,0.00001253737,0.00004538076,0.00002643262],"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":[0.00001734774,0.00002846314,0.00009669714,0.00003897818,0.000004444002,0.00004198119,0.00001568585,0.00004601573,0.9969,0.00007601703,0.0001108598,0.002623553],"study_design_scores_gemma":[0.00005240935,0.0005692862,0.002709315,0.00002202361,0.00004953119,0.0007839967,0.00002776657,0.002540047,0.9801971,0.00008364717,0.01295129,0.00001359457],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7159672,0.01287277,0.2525258,0.001132579,0.0003806799,0.001678996,0.001930644,0.001351156,0.01216026],"genre_scores_gemma":[0.7730897,0.009480027,0.1970077,0.0009307059,0.0001200476,0.001916,0.004547549,0.0001333105,0.01277488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0012313,"threshold_uncertainty_score":0.004119158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235182562660757,"score_gpt":0.2800646731061547,"score_spread":0.2677128474795471,"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."}}