Bioinformatics approaches in glycomics and drug discovery

被引:0
|
作者
Aoki-Kinoshita, Kiyoko F.
Kanehisa, Minoru
机构
[1] Soka Univ, Fac Engn, Dept Bioinformat, Hachioji, Tokyo 1928577, Japan
[2] Kyoto Univ, Chem Res Inst, Bioinformat Ctr, Kyoto 6110011, Japan
关键词
bioinformatics; databases; glycobiology; glycome informatics;
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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.
引用
收藏
页码:514 / 520
页数:7
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