{"id":"W2048292202","doi":"10.1002/cbic.201402663","title":"Synthesis and Analysis of Specific Covalent Inhibitors of <i>endo</i>‐Xyloglucanases","year":2015,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Xyloglucan; Chemistry; Disaccharide; Oligosaccharide; Glycoside hydrolase; Affinities; Reagent; Glycoside; Glycan; Stereochemistry; Enzyme; Covalent bond; Biochemistry; Affinity label; Active site; Mass spectrometry; Organic chemistry; Glycoprotein; Chromatography","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":[0.0001745086,0.0004054385,0.0001876712,0.0001058716,0.00009183902,0.0002196451,0.0002936924,0.0002421559,0.0005795219],"category_scores_gemma":[0.0001535278,0.000157436,0.000163538,0.0001065065,0.000150036,0.0001958567,0.0001277165,0.0003168212,0.0002572724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003252935,"about_ca_system_score_gemma":0.0001459325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004255954,"about_ca_topic_score_gemma":0.0006673447,"domain_scores_codex":[0.9998782,0.000018404,0.000009331266,0.00002766987,0.00003798088,0.00002838769],"domain_scores_gemma":[0.999885,0.00002090219,0.00004293447,0.00001398423,0.00002162237,0.00001570101],"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":[0.00002119231,0.000007671564,0.00004302638,0.00001445324,0.000003206896,0.000008098769,0.000003108591,0.00004291253,0.9992625,0.00004734969,0.000009150611,0.0005372592],"study_design_scores_gemma":[0.000001818622,0.00003144085,0.0002039568,5.214405e-7,0.000003324312,0.00002102262,0.000001325204,0.0001633111,0.9992054,0.000004405938,0.0003628329,7.475847e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700962,0.001511948,0.02525924,0.00006300206,0.00002006497,0.00009518699,0.000366947,0.000154931,0.00243235],"genre_scores_gemma":[0.9830661,0.00141567,0.01144021,0.00006141353,0.000008356768,0.00006983025,0.0008488636,0.0000442917,0.00304528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005795219,"threshold_uncertainty_score":0.002360165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01906245506600442,"score_gpt":0.2350171120789202,"score_spread":0.2159546570129158,"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."}}