A Computational Approach for the Identification of Site-Specific Protein Glycosylations Through Ion-Trap Mass Spectrometry

  • Yin Wu
  • Yehia Mechref
  • Iveta Klouckova
  • Milos V. Novotny
  • Haixu Tang
Conference paper

DOI: 10.1007/978-3-540-73060-6_7

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4532)
Cite this paper as:
Wu Y., Mechref Y., Klouckova I., Novotny M.V., Tang H. (2007) A Computational Approach for the Identification of Site-Specific Protein Glycosylations Through Ion-Trap Mass Spectrometry. In: Ideker T., Bafna V. (eds) Systems Biology and Computational Proteomics. Lecture Notes in Computer Science, vol 4532. Springer, Berlin, Heidelberg

Abstract

Glycosylation is one of the most common post-translational modifications (PTMs) of proteins, the characterization of which is commonly achieved utilizing mass spectrometry (MS). However, its applicability is currently limited by the lack of computational tools capable of autmoated interpretation of high throughput MS experiments which would allow the characterization of glycosylation sites and their microheterogeneities. We present here a computational approach which overcomes this problem and allows the identification and assignment of the microheterogeneities of glycosylation sites of glycoproteins from liquid chromatography ion-trap-based mass spectrometry (LC/MS) data. This method was implemented in a software tool and tested on several model glycoproteins. The results demonstrate the potential of our computational approach in automating the high throughput identification of glycoproteins.

Keywords

Glycoproteomics Mass spectrometry Site-specific Glycosylation Algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Yin Wu
    • 1
    • 5
  • Yehia Mechref
    • 2
    • 5
  • Iveta Klouckova
    • 2
  • Milos V. Novotny
    • 2
    • 5
  • Haixu Tang
    • 3
    • 4
    • 5
  1. 1.Department of Computer Science 
  2. 2.Department of Chemistry 
  3. 3.School of Informatics 
  4. 4.Center for Genomics and Bioinformatics 
  5. 5.National Center for Glycomics and Glycoproteomics, Indiana University, Bloomington, IN 47408 

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