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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationSystems Biology and Computational Proteomics - Joint RECOMB 2006 Satellite Workshops on Systems Biology and on Computational Proteomics, Revised Selected Papers
PublisherSpringer-Verlag
Pages96-107
Number of pages12
ISBN (Print)9783540730590
DOIs
StatePublished - 2007
EventJoint RECOMB 2006 Satellite Workshops on Systems Biology and on Computational Proteomics - San Diego, CA, United States
Duration: Dec 1 2006Dec 3 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4532 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceJoint RECOMB 2006 Satellite Workshops on Systems Biology and on Computational Proteomics
CountryUnited States
CitySan Diego, CA
Period12/1/0612/3/06

Keywords

  • Algorithm
  • Glycoproteomics
  • Mass spectrometry
  • Site-specific glycosylation

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