{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001243073,0.0001064633,0.0001575373,0.00004442287,0.0000633106,0.00001097223,0.0006861752,0.0002302674,0.00001778714],"category_scores_gemma":[0.00008460844,0.0001102031,0.00006743806,0.0001685891,0.0001150208,0.0002195074,0.0001454193,0.0005018243,0.000002659317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000949382,"about_ca_system_score_gemma":0.00006004863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005928504,"about_ca_topic_score_gemma":0.00005546363,"domain_scores_codex":[0.999225,0.00002582352,0.0003369302,0.0001467062,0.0001558524,0.0001097289],"domain_scores_gemma":[0.9978752,0.00005993765,0.0003431255,0.001470847,0.0002097843,0.00004117725],"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":[0.00001665527,0.000181872,0.005798747,0.00004687402,0.00002293479,4.102354e-8,0.0001045056,0.00001586008,0.9570255,0.03503894,0.001245111,0.0005029842],"study_design_scores_gemma":[0.0003026224,0.000021495,0.0003584231,0.00009283352,0.00002468687,0.000001311598,0.000218201,0.0005371,0.9742402,0.01093037,0.0131133,0.0001593866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7431229,0.006673207,0.2181389,0.003391978,0.00003925552,0.001034085,0.001332253,0.0002493098,0.02601805],"genre_scores_gemma":[0.9202639,0.0002801545,0.07818369,0.00001876518,0.00001878061,0.0001708528,0.0004527817,0.00001777859,0.000593239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.177141,"threshold_uncertainty_score":0.4493954,"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."}}