{"id":"W2104813013","doi":"10.1073/pnas.0906801106","title":"Proteome-wide prediction of acetylation substrates","year":2009,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Antimicrobial Peptides and Activities","field":"Immunology and Microbiology","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute of General Medical Sciences; National Institutes of Health; Deutsche Forschungsgemeinschaft","keywords":"Acetylation; Histone; Proteome; Computational biology; Biochemistry; Biology; Sequence (biology); Histone Acetyltransferases; Peptide sequence; Proteomics; Protein sequencing; Chemistry; Genetics; Gene","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":[0.0004856692,0.0006519526,0.0007609904,0.001199264,0.0002784023,0.0005645622,0.0003472016,0.0004089082,0.0006211465],"category_scores_gemma":[0.00104741,0.0002135694,0.0005451657,0.001245998,0.0001179987,0.0002703044,0.0002227769,0.0003946745,0.0005637234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803456,"about_ca_system_score_gemma":0.0002691569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000854359,"about_ca_topic_score_gemma":0.001089846,"domain_scores_codex":[0.9997491,0.00004889349,0.0000247391,0.00009271057,0.00006233649,0.00002215785],"domain_scores_gemma":[0.9994962,0.0001374288,0.0001074131,0.00006273684,0.0001477672,0.00004838098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009926562,0.0001227595,0.06136212,0.000422892,0.0002969991,0.000287908,0.00006308013,0.007909966,0.904761,0.0002367081,0.001136719,0.0224071],"study_design_scores_gemma":[0.00009555001,0.00048553,0.4211113,0.00003657541,0.0003468897,0.001313537,0.0001589441,0.1689322,0.3985695,0.00115336,0.007717753,0.00007877109],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736845,0.00122594,0.01498851,0.00007215864,0.00001734406,0.00003835527,0.008925309,0.000425655,0.0006222405],"genre_scores_gemma":[0.9158463,0.0007886722,0.04542131,0.00005098093,0.00002000686,0.00005517191,0.03713561,0.0001028604,0.0005791569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001199264,"threshold_uncertainty_score":0.002568543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930423816083146,"score_gpt":0.2620429808933936,"score_spread":0.2327387427325621,"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."}}