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COMPLEXITIES AND ALGORITHMS FOR GLYCAN SEQUENCING USING TANDEM MASS SPECTROMETRY
28
Citations
12
References
2008
Year
GlycobiologyMolecular BiologyHigh Throughput SequencingBioanalysisTandem Mass SpectrometryProteomicsGlycosylationDna SequencingComputational Mass SpectrometryFunctional GenomicsBioinformaticsGlycan StructuresProtein BioinformaticsHeuristic AlgorithmNatural SciencesNext-generation SequencingMass SpectrometryComputational BiologyMicrobiologySystems BiologyMedicine
Determining glycan structures is vital to comprehend cell-matrix, cell-cell, and even intracellular biological events. Glycan sequencing, which determines the primary structure of a glycan using tandem mass spectrometry (MS/MS), remains one of the most important tasks in proteomics. Analogous to peptide de novo sequencing, glycan de novo sequencing determines 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.
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