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Bioinformatics in glycobiology.

I Marchal1, G Golfier, O Dugas

  • 1MEDIAGEN SAS, Institut Pasteur de Lille, 1, rue du Professeur-Calmette, Bâtiment Guérin, BP 245, 59019 Lille cedex, France. marchal@mediagen.fr

Biochimie
|May 27, 2003
PubMed
Summary

Bioinformatics involvement in glycobiology remains limited, despite the importance of protein-modifying oligosaccharides. This review surveys available web-based bioinformatics resources for glycobiology, identifying some databases but noting a lack of specialized algorithms.

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Glycobiology·2001

Area of Science:

  • Biochemistry
  • Bioinformatics
  • Glycobiology

Background:

  • Oligosaccharides, crucial for protein modification, receive less attention than genes and proteins.
  • Bioinformatics tools and resources for glycobiology are underdeveloped compared to other biological fields.

Purpose of the Study:

  • To survey available web-based bioinformatics resources relevant to glycobiology.
  • To assess the current state of bioinformatics tools for analyzing oligosaccharide structures and functions.

Main Methods:

  • Non-exhaustive review of publicly accessible web resources.
  • Identification and categorization of existing glycobiology databases and data mining tools.

Main Results:

  • Several well-curated databases for glycobiology information exist.

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  • The development of specialized algorithms for data mining in glycobiology is limited.

    • Conclusions:

    • While some databases are available, specialized bioinformatics algorithms for glycobiology require further development.
    • Increased bioinformatics focus is needed to advance the study of oligosaccharides and their roles in biological systems.