Title
The use of the isotopic distribution as a complementary quality metric to assess tandem mass spectra results The use of the isotopic distribution as a complementary quality metric to assess tandem mass spectra results
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Publication type
article
Publication
Subject
Chemistry
Biology
Human medicine
Source (journal)
Journal of proteomics
Volume/pages
98(2014) , p. 150-158
ISSN
1874-3919
1874-3919
ISI
000334010000013
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Shotgun proteomics is a powerful technology to study the protein population of a biological system. This approach employs tandem mass spectrometry for amino acid sequencing. Fragmented ion masses can be used in correlative database-searching, like SEQUEST or Mascot, to identify peptides. The database-search method depends upon a score function that evaluates matches between the predicted ions and the ions observed in the tandem mass spectrum. Principally, peptide identification based on tandem MS and database-search algorithms does not take into account information about isotope distributions of the precursor ions. To determine the effectiveness of these search algorithms in terms of their ability to distinguish between correct and incorrect peptide assignments, we propose an additional metric that quantifies the similarity between experimental mass spectra and the theoretical isotope distribution for the precursor ions selected for tandem MS by using Pearson's χ2 statistic. The observed association between Pearson's χ2 statistic and the score function indicates that good scores can be obtained for molecules which exhibit atypical isotope profiles, while low scores can be obtained for fragment spectra which have a clear peptide-like isotope pattern. These results demonstrate that Pearson's χ2 statistic can be used in conjunction with the score of database-search algorithms to increase the sensitivity and specificity of peptide identification.
E-info
https://repository.uantwerpen.be/docman/iruaauth/8e56ee/d73dafa1538.pdf
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