Title
A Novel Algorithm for Glycan de novo Sequencing Using Tandem Mass Spectrometry.
Abstract
Glycosylation is one of the most important and prevalent post-translational modifications of proteins. Identifying the structures of such protein-linked glycans has become necessary in biochemistry analysis. In the past decade, tandem mass spectrometry (MS/MS) has gradually served as an effective technique in glycoproteomics analysis because of its high throughput and sensitivity. Different approaches have emerged to address the challenges in computational analysis of mass spectrometry based glycoproteomics data. However, there are only a few available software tools characterizing glycans using the spectra produced from intact glycopeptides, which can conserve glycosylation site information. Furthermore, with the development of advanced mass spectrometry techniques, more accurate and complete spectra like HCD spectra can be applied to identify glycopeptides. In this paper, we proposed a heuristic algorithm for glycan de novo sequencing from HCD MS/MS spectra of N-linked glycopeptides. Experiments conducted on a dataset comprising of 46 MS/MS spectra showed that our results were comparable with those identified by GlycoMaster DB, which is designed based on database searching method.
Year
DOI
Venue
2015
10.1007/978-3-319-19048-8_27
BIOINFORMATICS RESEARCH AND APPLICATIONS (ISBRA 2015)
Keywords
Field
DocType
Mass spectrometry,Glycan de novo sequencing,Computational proteomics
Glycosylation,Computer science,Tandem mass spectrometry,Mass spectrometry,Bioinformatics,Glycoproteomics,Glycan,Computational analysis
Conference
Volume
ISSN
Citations 
9096
0302-9743
1
PageRank 
References 
Authors
0.36
6
4
Name
Order
Citations
PageRank
Weiping Sun1376.66
Gilles Lajoie2133.60
Bin Ma31758155.63
Kaizhong Zhang42303514.76