Title
Complexities and Algorithms for Glycan Structure Sequencing using Tandem Mass Spectrometry
Abstract
Determining glycan structures is vital to comprehend cell-matrix, cell-cell, and even intracellular biological events. Glycan structure sequencing, which is to determine the primary structure of a glycan using MS/MS spectrometry, remains one of the most important tasks in proteomics. Analogous to the peptide de novo sequencing, the glycan de novo sequencing is to determine the structure without the aid of a known glycan database. We show in this paper that glycan de novo sequencing is NP-hard. We then provide a heuristic algorithm and develop a software program to solve the problem in practical cases. Experiments on real MS/MS data of glycopeptides demonstrate that our heuristic algorithm gives satisfactory results on practical data.
Year
DOI
Venue
2007
10.1142/9781860947995_0032
Series on Advances in Bioinformatics and Computational Biology
Keywords
Field
DocType
tandem mass spectrometry,heuristic algorithm
Biology,Proteomics,Tandem mass spectrometry,Mass spectrometry,Bioinformatics,Glycan
Conference
Volume
ISSN
Citations 
5
1751-6404
1
PageRank 
References 
Authors
0.37
5
4
Name
Order
Citations
PageRank
Baozhen Shan1244.59
Bin Ma21758155.63
Kaizhong Zhang32303514.76
Gilles Lajoie4133.60