{"id":"W3039647328","doi":"10.1038/s41467-020-17202-8","title":"Cryo-EM structure of arabinosyltransferase EmbB from Mycobacterium smegmatis","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Allergy and Infectious Diseases; National Center for Research Resources; National Institute of General Medical Sciences; Canadian Glycomics Network; National Institutes of Health; Horizon 2020 Framework Programme; Agency for Science, Technology and Research; Agouron Institute; Fundação para a Ciência e a Tecnologia; University of Arizona","keywords":"Ethambutol; Mycobacterium smegmatis; Mycobacterium tuberculosis; Cryo-electron microscopy; Computational biology; Chemistry; Binding site; Biology; Biochemistry; Tuberculosis; Medicine","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":[0.0001039459,0.000377772,0.0002326959,0.0002215368,0.0006574308,0.0003012335,0.0005377246,0.00089464,0.003250065],"category_scores_gemma":[0.0002393596,0.0002510123,0.0002404385,0.0003073156,0.0003133289,0.0004816244,0.0002883188,0.00114736,0.0005679124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007678014,"about_ca_system_score_gemma":0.0004115222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006602357,"about_ca_topic_score_gemma":0.005763202,"domain_scores_codex":[0.9999655,0.00000322406,0.000002001899,0.000008329226,0.00001196384,0.000008967192],"domain_scores_gemma":[0.9999001,0.00002659415,0.00002001779,0.000005904264,0.00002184754,0.00002559349],"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":[0.001551399,0.0002536087,0.007754124,0.001294606,0.0001397342,0.004058275,0.0008169027,0.01664299,0.9430022,0.002947123,0.01160454,0.009934464],"study_design_scores_gemma":[0.000458199,0.001174894,0.3054372,0.0006173673,0.0003821505,0.008141333,0.002691963,0.1836867,0.4148012,0.004126998,0.07822691,0.0002550955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761865,0.004243129,0.005658463,0.001497445,0.0001265968,0.00003198318,0.003668153,0.0004190973,0.008168579],"genre_scores_gemma":[0.9737437,0.003628194,0.00907354,0.0003471749,0.00003796796,0.0000490604,0.008048698,0.0001732733,0.004898398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006602357,"threshold_uncertainty_score":0.01312786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162832179009868,"score_gpt":0.2881590512207609,"score_spread":0.2718758333197741,"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."}}