{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004521994,0.0001763395,0.0002232678,0.00008837371,0.00005152119,0.00002634804,0.000323556,0.0004675251,0.00001535488],"category_scores_gemma":[0.0004077352,0.0001625245,0.0001255573,0.0001304692,0.0001938484,0.000004021132,0.0001490313,0.0001922968,0.00002130747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008160204,"about_ca_system_score_gemma":0.0000777328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005970481,"about_ca_topic_score_gemma":0.000009271945,"domain_scores_codex":[0.9984112,0.0001784625,0.0004745448,0.0004691981,0.000156109,0.0003105278],"domain_scores_gemma":[0.9988295,0.00001090412,0.0002194715,0.0005843009,0.0002518942,0.0001038983],"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":[0.00007293502,0.00005427843,0.001534178,0.00005119853,0.00005265832,0.000002838311,0.000008569101,0.000007180418,0.9959639,0.001539475,0.0001691654,0.0005436655],"study_design_scores_gemma":[0.0003761071,0.0001766415,0.001343008,0.000006772644,0.00001139501,0.00002053471,0.000006553802,0.00007785395,0.9803129,0.0001376354,0.01735778,0.0001728136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735307,0.0004731999,0.02392898,0.0001203502,0.0008032815,0.0006098656,0.00004296302,0.00001812735,0.0004725029],"genre_scores_gemma":[0.9985117,0.00001806044,0.0002607032,0.00004979963,0.0002494945,0.0001250616,0.0005656371,0.00002791161,0.0001915852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02498102,"threshold_uncertainty_score":0.6627558,"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."}}