Development of a mass fingerprinting tool for automated interpretation of oligosaccharide fragmentation data

Hiren J. Joshi*, Mathew J. Harrison, Benjamin L. Schulz, Catherine A. Cooper, Nicolle H. Packer, Niclas G. Karlsson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

106 Citations (Scopus)

Abstract

The bioinformatic tool GlycosidlQ™ was developed for computerized interpretation of oligosaccharide mass spectrometric fragmentation based on matching experimental data with theoretically fragmented oligosaccharides generated from the database GlycoSuiteDB™. This use of the software for glycofragment mass fingerprinting obviates a large part of the manual, labor intensive, and technically challenging interpretation of oligosaccharide fragmentation. Using 130 negative ion electrospray ionization-tandem mass spectrometry fragment spectra from identified oligosaccharide structures, it was shown that the GlycosidlQ scoring algorithms were able to correctly identify oligosaccharides in the great majority of cases (correct structure top ranked in 78% of the cases and an additional 17% were ranked second highest in the sample set).

Original languageEnglish
Pages (from-to)1650-1664
Number of pages15
JournalProteomics
Volume4
Issue number6
DOIs
Publication statusPublished - Jun 2004
Externally publishedYes

Keywords

  • Bioinformatics
  • Database
  • Fragmentation
  • Mass spectrometry
  • Oligosaccharide

Fingerprint

Dive into the research topics of 'Development of a mass fingerprinting tool for automated interpretation of oligosaccharide fragmentation data'. Together they form a unique fingerprint.

Cite this