{"id":"W2104467257","doi":"10.1002/cplu.201500282","title":"Design of Glycosyltransferase Inhibitors: Serine Analogues as Pyrophosphate Surrogates?","year":2015,"lang":"en","type":"article","venue":"ChemPlusChem","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"DanScatt; Ministère de l'Enseignement Supérieur et de la Recherche; Université Claude Bernard Lyon 1; European Synchrotron Radiation Facility","keywords":"Glycosyltransferase; Chemistry; Serine; Nucleotide sugar; Stereochemistry; Pyrophosphate; Biochemistry; Enzyme; Moiety; Glycosylation; Rational design; Combinatorial chemistry; Azide; Click chemistry; Amide; Active site; 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":[],"consensus_categories":[],"category_scores_codex":[0.0004257736,0.000188914,0.0002076793,0.00006536304,0.00004085091,0.00002206627,0.0002399472,0.0001667224,0.00009129904],"category_scores_gemma":[0.00029367,0.0001791307,0.0000861981,0.0002330415,0.0001241047,0.000009384426,0.0001046179,0.0001148721,0.0000901142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002385589,"about_ca_system_score_gemma":0.0002707994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008079283,"about_ca_topic_score_gemma":0.00001202495,"domain_scores_codex":[0.9986736,0.00006850953,0.0002873146,0.0003422186,0.0003217897,0.0003065478],"domain_scores_gemma":[0.9988561,0.00001659041,0.00006943723,0.0004097772,0.000374109,0.0002739895],"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":[0.0007502143,0.0001087028,0.0008168442,0.00003908786,0.00005077858,0.00001226379,0.0001089243,0.0003032105,0.9938522,0.00005734583,0.002701059,0.001199353],"study_design_scores_gemma":[0.001329709,0.000698284,0.00009375609,0.00001735363,0.000008556874,0.00001626202,0.00009812209,0.0001725484,0.9772753,0.0001384657,0.01995971,0.0001920099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907581,0.0009136657,0.004917715,0.0002206241,0.0001011788,0.0003656322,0.00001556556,0.00002949921,0.002678018],"genre_scores_gemma":[0.9964901,0.0001462772,0.001792385,0.00008453063,0.0001543988,0.0000342459,0.0001808617,0.00003206455,0.001085153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01725865,"threshold_uncertainty_score":0.7304736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03842412839809294,"score_gpt":0.2893887220162382,"score_spread":0.2509645936181453,"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."}}