{"id":"W2271889926","doi":"10.1038/ncomms9648","title":"Discovery of protein acetylation patterns by deconvolution of peptide isomer mass spectra","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Acetylation; Histone; Peptide; Proteomics; Chemistry; Computational biology; Chromatin; Mass spectrometry; Epigenetics; Tandem mass spectrometry; Posttranslational modification; Peptide mass fingerprinting; Biochemistry; Biology; Chromatography; Enzyme","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":[0.0007715652,0.0006965957,0.0005008161,0.001847983,0.0002181728,0.0006897821,0.0004461652,0.0004297483,0.001289796],"category_scores_gemma":[0.001009376,0.000301899,0.0005804952,0.000982095,0.0002709135,0.0006316749,0.0005192361,0.0008458235,0.0005122494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002820964,"about_ca_system_score_gemma":0.0002925667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004055481,"about_ca_topic_score_gemma":0.0005784957,"domain_scores_codex":[0.999689,0.00003208853,0.00001792965,0.0001086127,0.0001167482,0.0000356276],"domain_scores_gemma":[0.9996332,0.0001016155,0.00007273727,0.00004359204,0.0001001207,0.00004881072],"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":[0.0004724508,0.00004161756,0.002320677,0.00008397458,0.00004389603,0.00007639158,0.0000319207,0.0007865751,0.9737899,0.0002267292,0.0001468336,0.02197909],"study_design_scores_gemma":[0.0000321641,0.0001607381,0.01679446,0.000008229239,0.00004696136,0.0005513933,0.00004120089,0.03987778,0.9397044,0.0004746551,0.002269687,0.00003830309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8006274,0.001466002,0.1902773,0.0001487579,0.00005083174,0.0001201909,0.002371487,0.00161369,0.003324262],"genre_scores_gemma":[0.6954047,0.001397076,0.2970221,0.0001595244,0.00002949868,0.0001473798,0.003444637,0.0003599174,0.002035065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001847983,"threshold_uncertainty_score":0.00431478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783828900326293,"score_gpt":0.2987924488820215,"score_spread":0.2809541598787585,"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."}}