{"id":"W2259083890","doi":"10.1039/c6sc00370b","title":"Analysis of transition state mimicry by tight binding aminothiazoline inhibitors provides insight into catalysis by human O-GlcNAcase","year":2016,"lang":"en","type":"article","venue":"Chemical Science","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnaby Hospital; Simon Fraser University","funders":"Institute of Aging; Australian Research Council; Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research; Directorate for Biological Sciences; Genome British Columbia; Michael Smith Health Research BC; Diamond Light Source; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Mimicry; Transition (genetics); Catalysis; State (computer science); Chemistry; Biology; Computer science; Ecology; Biochemistry","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":[0.0001639472,0.0002989478,0.0002542633,0.00008290275,0.0001603003,0.000295579,0.0003692906,0.0002765138,0.001836327],"category_scores_gemma":[0.0003006702,0.0001178205,0.0002095566,0.0001034427,0.0002684554,0.0002993691,0.0001588307,0.000574105,0.000215161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006005289,"about_ca_system_score_gemma":0.0002645794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0012048,"about_ca_topic_score_gemma":0.001305551,"domain_scores_codex":[0.9998988,0.0000177184,0.000005681447,0.0000226624,0.00002896642,0.00002615361],"domain_scores_gemma":[0.9999138,0.00002813267,0.00002860105,0.000007656136,0.000008762147,0.00001296204],"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":[0.0003988336,0.00007868425,0.0005688546,0.00007863736,0.00002705052,0.0001397746,0.0000465556,0.002335475,0.9908119,0.001482164,0.0002063501,0.003825682],"study_design_scores_gemma":[0.00007714538,0.0009693668,0.00146773,0.000008318734,0.00002998469,0.0002036528,0.00003087409,0.01629827,0.9784183,0.0006160325,0.001857346,0.0000230796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868786,0.0009357908,0.008791096,0.000148765,0.00003053623,0.00004617085,0.0002067122,0.0002236765,0.002738513],"genre_scores_gemma":[0.997609,0.0004014188,0.001243545,0.0000264331,0.000002615818,0.00001852214,0.0001424076,0.00001803543,0.0005380252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001836327,"threshold_uncertainty_score":0.006143153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007420831864746124,"score_gpt":0.2705845840677486,"score_spread":0.2631637522030025,"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."}}