{"id":"W2107272621","doi":"10.1038/msb.2010.39","title":"Proteome‐wide identification of mycobacterial pupylation targets","year":2010,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"Bundesministerium für Bildung und Forschung; Deutscher Akademischer Austauschdienst; Canadian Institutes of Health Research; European Commission","keywords":"Biology; Proteome; Mycobacterium smegmatis; Gene; Proteomics; Proteasome; Genome; Genetics; Metabolic pathway; Biochemistry; Computational biology; Cell biology; Mycobacterium tuberculosis","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":[0.0001467725,0.0002245465,0.0002591975,0.0003102784,0.0001684785,0.0003016275,0.00009731879,0.0002509469,0.0004252454],"category_scores_gemma":[0.0001747662,0.0001038348,0.0001990193,0.0002904697,0.00009553118,0.0001459804,0.0002173096,0.0002263051,0.0002437508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324267,"about_ca_system_score_gemma":0.00009967478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002695028,"about_ca_topic_score_gemma":0.0004927325,"domain_scores_codex":[0.9999115,0.000009731607,0.000005437105,0.00003034535,0.00002569214,0.00001710544],"domain_scores_gemma":[0.9999102,0.00001902278,0.00002145412,0.00001071081,0.00001931719,0.00001924595],"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":[0.000053011,0.00000564805,0.002128351,0.00002379506,0.00000687155,0.00003556548,0.00001638531,0.00001905552,0.9966086,0.00001408633,0.00002183874,0.001066904],"study_design_scores_gemma":[0.00001464869,0.0002073193,0.1926636,0.000009667305,0.00005823429,0.000951785,0.00009426262,0.001343914,0.8022168,0.00009561547,0.002333388,0.000010738],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964759,0.0009747199,0.001588495,0.00003612102,0.000004826848,0.000008167566,0.000634491,0.00002480684,0.0002524431],"genre_scores_gemma":[0.9946257,0.0006916479,0.002314501,0.00005307442,0.000008898687,0.00001275094,0.001712519,0.00001319631,0.0005676344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004252454,"threshold_uncertainty_score":0.001422584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00562593066726485,"score_gpt":0.2589340174374424,"score_spread":0.2533080867701776,"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."}}