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Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
Published on: January 20, 2022
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Functional network in posttranslational modifications: Glyco-Net in Glycoconjugate Data Bank
Nobuaki Miura1, Takuya Okada, Daisuke Murayama
1Graduate School of Life Sciences, Hokkaido University, 1-204, Open Laboratory in Central Campus, Sapporo, 060-0812, Japan, n.muller@nifty.ne.jp.
Methods in Molecular Biology (Clifton, N.J.)
|March 11, 2015
Summary
Glyco-Net visualizes relationships between biological molecules and events, aiding the study of posttranslational modifications (PTMs) like glycosylation. This tool helps researchers systematically investigate complex PTM pathways using dynamic network figures.
Area of Science:
- Glycomics
- Systems Biology
- Bioinformatics
Background:
- Posttranslational modifications (PTMs), particularly glycosylation, are crucial in post-genome research.
- Understanding the complex interactions among glycan-related molecules and biological events is essential.
- Graphical networks offer a valuable approach for systematic investigation of PTMs.
Purpose of the Study:
- To introduce Glyco-Net, a tool for dynamically generating network figures of biological molecules and events.
- To describe the features and current status of the Glyco-Net resource.
- To demonstrate a simple search example within Glyco-Net.
Main Methods:
- Development of a dynamic network visualization tool (Glyco-Net).
- Representation of biological molecules and events as nodes.
- Indication of relationships using directed arrows in network figures.
Main Results:
- Glyco-Net enables the creation of dynamic network visualizations.
- The tool facilitates the exploration of relationships among genes, proteins, lipids, and biological events.
- A basic search functionality is available for users.
Conclusions:
- Glyco-Net serves as a valuable and convenient tool for investigating PTMs.
- The network-based approach aids in the systematic study of glycan-related pathways.
- Glyco-Net supports researchers in post-genome science and technology.
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