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Title: Spectral probabilities of top-down tandem mass spectra

In mass spectrometry (MS)-based proteomics, accurate estimation of statistical signicance of peptide and protein identications is desired for determining whether they are actually correct. Probabilistic models, such as the generating function method, have been successfully applied to compute statistical signicance of peptide-spectrum matches (PSMs) in bottom-up MS, but it is limited to PSMs of short peptides without post-translational modications (PTMs). Recently, top-down MS has be- come available in many laboratories, which often identies intact proteins with PTMs. In this paper, we propose an extended generating function (EGF) method for accurately computing statistical signicance of protein- spectrum matches (PrSMs) with PTMs.
 [1] ;  [2] ;  [3] ;  [4]
  1. Indiana Univ.-Purdue Univ., Indianapolis, IN (United States); Indiana Univ. School of Medicine, Indianapolis, IN (United States)
  2. Indiana Univ.-Purdue Univ., Indianapolis, IN (United States)
  3. City Univ. of Hong Kong (China)
  4. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Publication Date:
OSTI Identifier:
Report Number(s):
Journal ID: ISSN 1471-2164; 47418; KP1601010
DOE Contract Number:
Resource Type:
Journal Article
Resource Relation:
Journal Name: BMC Genomics; Journal Volume: 15
Research Org:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), Environmental Molecular Sciences Laboratory (EMSL)
Sponsoring Org:
Country of Publication:
United States
59 BASIC BIOLOGICAL SCIENCES Environmental Molecular Sciences Laboratory