{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001243898,0.00008145801,0.0001822706,0.00008633638,0.00001156414,0.000004418529,0.00006249178,0.00006728249,0.00001702528],"category_scores_gemma":[0.0001141238,0.00008012309,0.00007360664,0.0002513191,0.00009406779,0.000002671182,0.00004669119,0.00002263028,7.235909e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006724898,"about_ca_system_score_gemma":0.00002779535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007352635,"about_ca_topic_score_gemma":0.000002265611,"domain_scores_codex":[0.9994016,0.00001982289,0.0001997831,0.0002016675,0.0001004114,0.00007674031],"domain_scores_gemma":[0.9994294,0.000007746082,0.0001306332,0.0002271306,0.0001413931,0.00006371771],"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":[0.00004263867,0.00006102753,0.006835905,0.00002462995,0.0001981442,2.052262e-7,0.00005989053,0.000009981263,0.9904571,0.00005809417,0.001325745,0.0009266217],"study_design_scores_gemma":[0.0001490078,0.00004368155,0.00355583,0.000006265712,0.0001497533,0.000001684731,0.000149806,0.00001150026,0.990191,0.000007045493,0.005656163,0.0000782167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979257,0.001176156,0.0001806965,0.00007859616,0.00006865613,0.00004878989,0.0000327152,0.000004854398,0.0004838492],"genre_scores_gemma":[0.9989748,0.0003516692,0.0002370575,0.00002648643,0.00007556481,0.000005510036,0.0001517911,0.000007842933,0.0001692684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004330419,"threshold_uncertainty_score":0.3267325,"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."}}