@inproceedings{9957b6674fba431b8f4e858d68e08a43,
title = "A computational approach for the identification of site-specific protein glycosylations through ion-trap mass spectrometry",
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 = "Algorithm, Glycoproteomics, Mass spectrometry, Site-specific glycosylation",
author = "Yin Wu and Yehia Mechref and Iveta Klouckova and Novotny, {Milos V.} and Haixu Tang",
year = "2007",
doi = "10.1007/978-3-540-73060-6_7",
language = "English",
isbn = "9783540730590",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "96--107",
booktitle = "Systems Biology and Computational Proteomics - Joint RECOMB 2006 Satellite Workshops on Systems Biology and on Computational Proteomics, Revised Selected Papers",
note = "null ; Conference date: 01-12-2006 Through 03-12-2006",
}