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 language | English |
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Title of host publication | Systems Biology and Computational Proteomics - Joint RECOMB 2006 Satellite Workshops on Systems Biology and on Computational Proteomics, Revised Selected Papers |
Publisher | Springer-Verlag |
Pages | 96-107 |
Number of pages | 12 |
ISBN (Print) | 9783540730590 |
DOIs | |
State | Published - 2007 |
Event | Joint RECOMB 2006 Satellite Workshops on Systems Biology and on Computational Proteomics - San Diego, CA, United States Duration: Dec 1 2006 → Dec 3 2006 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 4532 LNBI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | Joint RECOMB 2006 Satellite Workshops on Systems Biology and on Computational Proteomics |
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Country | United States |
City | San Diego, CA |
Period | 12/1/06 → 12/3/06 |
Keywords
- Algorithm
- Glycoproteomics
- Mass spectrometry
- Site-specific glycosylation