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Curr Opin Mol Ther. 2006 Dec;8(6):514-20.

Bioinformatics approaches in glycomics and drug discovery.

Author information

1
Soka University, Faculty of Engineering, Department of Bioinformatics, 1-236 Tangi-cho, Hachioji-shi, Tokyo 192-8577, Japan. kkiyoko@t.soka.ac.jp

Abstract

Within the field of bioinformatics, interest in glycan structures has increased steadily since the start of the 21st century, with several databases worldwide accumulating data. The most notable publicly available databases are KEGG GLYCAN in Japan, glycoSCIENCES.de in Germany and that of the Consortium for Functional Glycomics in the US. With this increasing abundance of data, there are greater possibilities for applying tree-based models and algorithms to glycan structure data. Research in this area of glycome informatics is reviewed. The combination of these datasets and informatics techniques to enable extraction of the most important (and perhaps the most interesting) information--the links between glycans and diseases, and the identification of biomarkers and drug targets--is discussed.

PMID:
17243487
[Indexed for MEDLINE]

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