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Functional network of glycan-related molecules : Glyco-Net in Glycoconjugate Data Bank

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/44043

Title: Functional network of glycan-related molecules : Glyco-Net in Glycoconjugate Data Bank
Authors: Hashimoto, Ryo Browse this author
Hirose, Kazuko Browse this author
Sato, Taku Browse this author
Fukushima, Nobuhiro Browse this author
Miura, Nobuaki Browse this author
Nishimura, Shin-Ichiro Browse this author →KAKEN DB
Issue Date: 29-Jun-2010
Publisher: BioMed Central
Journal Title: BMC Systems Biology
Volume: 4
Start Page: 91
Publisher DOI: 10.1186/1752-0509-4-91
Abstract: Background: Glycans are involved in a wide range of biological process, and they play an essential role in functions such as cell differentiation, cell adhesion, pathogen-host recognition, toxin-receptor interactions, signal transduction, cancer metastasis, and immune responses. Elucidating pathways related to post-translational modifications (PTMs) such as glycosylation are of growing importance in post-genome science and technology. Graphical networks describing the relationships among glycan-related molecules, including genes, proteins, lipids and various biological events are considered extremely valuable and convenient tools for the systematic investigation of PTMs. However, there is no database which dynamically draws functional networks related to glycans. Description: We have created a database called Glyco-Net http://www.glycoconjugate.jp/functions/, with many binary relationships among glycan-related molecules. Using search results, we can dynamically draw figures of the functional relationships among these components with nodes and arrows. A certain molecule or event corresponds to a node in the network figures, and the relationship between the molecule and the event are indicated by arrows. Since all components are treated equally, an arrow is also a node. Conclusions: In this paper, we describe our new database, Glyco-Net, which is the first database to dynamically show networks of the functional profiles of glycan related molecules. The graphical networks will assist in the understanding of the role of the PTMs. In addition, since various kinds of bio-objects such as genes, proteins, and inhibitors are equally treated in Glyco-Net, we can obtain a large amount of information on the PTMs.
Rights: http://creativecommons.org/licenses/by/2.0
Type: article
URI: http://hdl.handle.net/2115/44043
Appears in Collections:生命科学院・先端生命科学研究院 (Graduate School of Life Science / Faculty of Advanced Life Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 三浦 信明

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