Peptide de novo sequencing of mixture tandem mass spectra
The impact of mixture spectra deconvolution on the performance of four popular de novo sequencing programs was tested using artificially constructed mixture spectra as well as experimental proteomics data. Mixture fragmentation spectra are recognized as a limitation in proteomics because they decrease the identification performance using database search engines. De novo sequencing approaches are expected to be even more sensitive to the reduction in mass spectrum quality resulting from peptide precursor co‐isolation and thus prone to false identifications. The deconvolution approach matched complementary b‐, y‐ions to each precursor peptide mass, which allowed the creation of virtual spectra containing sequence specific fragment ions of each co‐isolated peptide. Deconvolution processing resulted in equally efficient identification rates but increased the absolute number of correctly sequenced peptides. The improvement was in the range of 20–35% additional peptide identifications for a HeLa lysate sample. Some correct sequences were identified only using unprocessed spectra; however, the number of these was lower than those where improvement was obtained by mass spectral deconvolution. Tight candidate peptide score distribution and high sensitivity to small changes in the mass spectrum introduced by the employed deconvolution method could explain some of the missing peptide identifications.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Peptide de novo sequencing of mixture tandem mass spectra ; volume:16 ; number:18 ; year:2016 ; pages:2470-2479 ; extent:10
Proteomics ; 16, Heft 18 (2016), 2470-2479 (gesamt 10)
- Urheber
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Gorshkov, Vladimir
Hotta, Stéphanie Yuki Kolbeck
Verano‐Braga, Thiago
Kjeldsen, Frank
- DOI
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10.1002/pmic.201500549
- URN
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urn:nbn:de:101:1-2022111205245447131518
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:24 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Gorshkov, Vladimir
- Hotta, Stéphanie Yuki Kolbeck
- Verano‐Braga, Thiago
- Kjeldsen, Frank
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