{"id":"W2808099461","doi":"10.1038/s41426-018-0112-3","title":"Acetylation of lysine 182 inhibits the ability of <i>Mycobacterium tuberculosis</i> DosR to bind DNA and regulate gene expression during hypoxia","year":2018,"lang":"en","type":"article","venue":"Emerging Microbes & Infections","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China; National Science Foundation","keywords":"Acetylation; Regulon; Mycobacterium tuberculosis; Lysine; Histone deacetylase; DNA; Chemistry; Biochemistry; Gene; Mediator; Histone; Mutant; Tuberculosis; Biology; Cell biology; Amino acid; Medicine","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":[0.0001278462,0.0001809893,0.0003444398,0.00009092873,0.000123153,0.0001736016,0.0002718478,0.0001742567,0.001315152],"category_scores_gemma":[0.0001558086,0.0001286775,0.0001814167,0.0001015493,0.0001698418,0.00009594035,0.0001459648,0.0003256335,0.0002901744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908115,"about_ca_system_score_gemma":0.0001895507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001192073,"about_ca_topic_score_gemma":0.001687503,"domain_scores_codex":[0.9998617,0.00002837083,0.00001552933,0.00002200321,0.00002750734,0.00004488658],"domain_scores_gemma":[0.999861,0.00002111392,0.00004243245,0.00002231621,0.0000138472,0.00003927366],"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":[0.0001600271,0.0000282059,0.0002959966,0.00001411691,0.00000389804,0.00001189469,0.000005616358,0.00003597228,0.9988177,0.00001386649,0.000023406,0.0005891993],"study_design_scores_gemma":[0.00002005392,0.0006301221,0.01063074,0.000004430136,0.0000103984,0.0001038804,0.00001905575,0.0005862407,0.9867181,0.00001688558,0.001256772,0.000003357579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973558,0.0006741467,0.0008206074,0.00006607424,0.00002215153,0.00001611744,0.0001640239,0.0000372039,0.0008439456],"genre_scores_gemma":[0.9977515,0.0002719245,0.0006426862,0.00005142433,0.000006914343,0.0000113497,0.0002995643,0.00001310901,0.0009515695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001315152,"threshold_uncertainty_score":0.004399598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194214592312458,"score_gpt":0.2864260709216817,"score_spread":0.2744839249985571,"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."}}