GlycoGene DataBase

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Glycogene Function Team,
Research Center for Medical Glycoscience,
National Institute of Advanced Industrial Science and Technology (AIST)

Central-2 OSL, 1-1-1 Umezono, Tsukuba,
Ibaraki, zip 305-8568, Japan


About GlycoGene DataBase(GGDB) Protocols of GlycoGene Library Project How to use GGDB References Web Service Contact Us

About GlycoGene DataBase

Significance of GGDB

Glycogene includes genes associated with glycan synthesis such as glycosyltransferase, sugar nucleotide synthases, sugar-nucleotide transporters, sulfotransferases, etc. At present, over 180 human glycogenes were identified, cloned and characterized. In "Construction of GlycoGene Library Project " (April, 2001 - March, 2004), we collected and compiled the data on such glycogenes as GlycoGene Database (GGDB), which is the first database to store information on substrate specificity. GGDB provides necessary information for the analysis of glycogenes.

Present Status of GGDB

The purpose of GlycoGene Database (GGDB, http://riodb.ibase.aist.go.jp/rcmg/ggdb) is to provide users with easy access to the information on glycogenes via website. In GGDB, the following property information of each glycogene are stored in XML format: gene names(gene symbols), enzyme names, DNA sequences, tissue distribution(gene expression), substrate specificities, homologous genes, EC numbers, and external links to various databases. It graphically shows the information such as substrate specificities, etc.

Web Interface of Glycogene Database (GGDB)

Future Perspectives

It is expected that GGDB greatly contributes to improve the efficiency of analysis required for progress in glycobiology. GGDB will be updated to provide more integrated functions for which to display information of enzyme reactions and to link to the mass spectrometry database of glycans. The interface will also be expanded in the future with the addition of other property information, based on users feedbacks. In addition, using data mining technique, we are analyzing the stored data to develop a new tool to predict the substrate specificity for each glycogene.

Acknowledgement

The production of those experimental data is supported by the New Energy and Industrial Technology Development Organization (NEDO). The construction of this database, the network security and Web Application Security are supported by Tsukuba Advanced Computing Center(TACC), AIST.

Disclaimer

Research Center for Medical Glycoscience at AIST does not warrant or assure any legal liability or responsibility for the accuracy, completeness, or usefulness of any information available from this website.