Abstract
The biological significance of glycans has been widely studied and reported in the past. However, most achievements of our predecessors are not readily available in existing databases. JCGGDB is a meta-database involving 15 original databases in AIST and 5 cooperative databases in alliance with JCGG: Japan Consortium for Glycobiology and Glycotechnology. It centers on a glycan structure database and accumulates information such as glycan preferences of lectins, glycosylation sites in proteins, and genes related to glycan syntheses from glycoscience and related fields. This chapter illustrates how to use three major search interfaces (Keyword Search, Structure Search, and GlycoChem Explorer) available in JCGGDB to search across multiple databases.
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Acknowledgment
We are grateful to Drs. Yasugi E. and Nishijima M. of the Executive Committee of Lipid Database for Lipidbank, Kawasaki T. of Ritsumeikan Univ. for GlycoEpitope, Takahashi N. and Kato K. of Nagoya City Univ. for GALAXY, Furukawa K. of Nagoya Univ. for KO mice DB, and Yamada I. of the Noguchi Institute for GlycoNAVI constructions. We also thank Drs. Hirabayashi J., Kaji H., and Kameyama A. of AIST for the constructions of LfDB, GlycoProtDB, and GMDB, respectively.
JCGGDB was developed as part of the Life Science Integrated Database Project by the Ministry of Education, Culture, Sports, Science and Technology in Japan from 2007 through 2010. Since 2011, JCGGDB has been supported by the JST/NBDC Program for Coordination Toward Integration of Related Databases. RIO-DB project of AIST has also partly supported the development and maintenance of GGDB, LfDB, GlycoProtDB, and GMDB since 2007.
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Maeda, M., Fujita, N., Suzuki, Y., Sawaki, H., Shikanai, T., Narimatsu, H. (2015). JCGGDB: Japan Consortium for Glycobiology and Glycotechnology Database. In: Lütteke, T., Frank, M. (eds) Glycoinformatics. Methods in Molecular Biology, vol 1273. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-2343-4_12
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DOI: https://doi.org/10.1007/978-1-4939-2343-4_12
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