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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.
Authors:
 [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:
1158472
Report Number(s):
PNNL-SA--95626
Journal ID: ISSN 1471-2164; 47418; KP1601010
DOE Contract Number:
AC05-76RL01830
Resource Type:
Journal Article
Resource Relation:
Journal Name: BMC Genomics; Journal Volume: 15
Publisher:
Springer
Research Org:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States), Environmental Molecular Sciences Laboratory (EMSL)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES Environmental Molecular Sciences Laboratory