Application of a fast sorting algorithm to the assignment of mass spectrometric cross‐linking data. Issue 17 (10th July 2014)

• Record Type: Journal Article
• Authors: Petrotchenko, Evgeniy V.; Borchers, Christoph H.; Zahedi, René P.; Ueffing, Marius; Sickmann, Albert
• Is Part Of: Proteomics. Volume 14:Issue 17/18(2014)
• Page Start: 1987
• Page End: 1989
• Publication Date: 2014-07-10
• Subjects: Proteins -- Separation -- Periodicals; Bioinformatics -- Periodicals; Proteomics -- Periodicals; Genomes -- Periodicals; Molecular genetics -- Periodicals; 572.605
• DOI: 10.1002/pmic.201300486
• Languages: English
• ISSNs: 1615-9853

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Cross‐linking combined with MS involves enzymatic digestion of cross‐linked proteins and identifying cross‐linked peptides. Assignment of cross‐linked peptide masses requires a search of all possible binary combinations of peptides from the cross‐linked proteins' sequences, which becomes impractical with increasing complexity of the protein system and/or if digestion enzyme specificity is relaxed. Here, we describe the application of a fast sorting algorithm to search large sequence databases for cross‐linked peptide assignments based on mass. This same algorithm has been used previously for assigning disulfide‐bridged peptides (Choi et al., <xref ref-type="link" rid="pmic7773-bib-0004">4</xref>), but has not previously been applied to cross‐linking studies.</p> </abstract>