{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000595432,0.0001625024,0.0003737103,0.0002431524,0.0002737953,0.00001007615,0.00007500178,0.0001097352,0.0001233822],"category_scores_gemma":[0.0006183455,0.0001184242,0.000108243,0.0005899629,0.0003250693,0.0001186945,0.0001894856,0.0001956233,0.00001433732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006242917,"about_ca_system_score_gemma":0.00004681445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003844377,"about_ca_topic_score_gemma":0.00009508301,"domain_scores_codex":[0.9984775,0.0001934198,0.0005211944,0.0003289521,0.0001528432,0.0003261208],"domain_scores_gemma":[0.9986972,0.0001531572,0.000147152,0.000479291,0.0003789066,0.0001442902],"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":[0.000125832,0.0001324126,0.03452062,0.0001296142,0.00007757272,4.072854e-7,0.000624404,0.00007888649,0.9628024,0.00001234691,0.001013526,0.0004819802],"study_design_scores_gemma":[0.0004199827,0.0002198786,0.3262638,0.0001527292,0.00005987706,0.00005304579,0.00003851597,0.00005821098,0.6712418,0.00003207464,0.001385426,0.0000745717],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953417,0.0002284328,0.0002674978,0.003228724,0.0001837495,0.0004333719,0.00002520555,0.00004239608,0.0002488801],"genre_scores_gemma":[0.9985468,0.0002279694,0.0006809445,0.000132118,0.0002687726,0.00002469769,0.00002129841,0.00001978983,0.00007754769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2917432,"threshold_uncertainty_score":0.4829199,"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."}}