{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003037123,0.0003973347,0.0004026301,0.0001506157,0.00008993968,0.0004201128,0.0003878612,0.0002819335,0.001002555],"category_scores_gemma":[0.0002008241,0.0001945479,0.0002025664,0.0002186426,0.000187334,0.000319081,0.0001712528,0.0004848091,0.0004939797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003864849,"about_ca_system_score_gemma":0.0002692023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005020866,"about_ca_topic_score_gemma":0.0009723633,"domain_scores_codex":[0.9998763,0.00002867481,0.00001256745,0.00002431947,0.00003348188,0.00002469925],"domain_scores_gemma":[0.9999244,0.00001267868,0.00002384401,0.000009493415,0.00001238824,0.00001713949],"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":[0.0004067745,0.0001333647,0.0002754447,0.0001301215,0.00002596716,0.0002106513,0.00003304238,0.002794436,0.9808145,0.002237643,0.0002885917,0.01264949],"study_design_scores_gemma":[0.0001686739,0.0009961497,0.0004628005,0.00001253776,0.00003417618,0.0002844024,0.00001562902,0.003954411,0.986339,0.0002263778,0.007490925,0.00001473335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9477941,0.005281834,0.03587637,0.0003760085,0.0001145605,0.0003664941,0.0006068203,0.0002800681,0.009303674],"genre_scores_gemma":[0.9814711,0.002931781,0.01256207,0.00008406214,0.00001504319,0.00008368267,0.00030238,0.00003283925,0.002517076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001002555,"threshold_uncertainty_score":0.003353894,"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."}}