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Updated: Jun 10, 2026
11:21
Bioinformatics Resources for the Study of Glycan-Mediated Protein Interactions
Published on: January 20, 2022
The RINGS resource for glycome informatics analysis and data mining on the Web
Yukie Akune1, Masae Hosoda, Sakiko Kaiya
1Department of Bioinformatics, Faculty of Engineering, Soka University, 1-236 Tangi-cho, Hachioji, Tokyo 192-8577, Japan.
Omics : a Journal of Integrative Biology
|August 24, 2010
Summary
Bioinformatics tools are crucial for understanding complex glycan structures. RINGS (Resource for INformatics of Glycomes at Soka) offers freely available web-based data mining and algorithmic tools for glycobiology research.
Area of Science:
- Bioinformatics
- Glycomics
- Computational Biology
Background:
- The postgenomic era has seen the rise of specialized fields like glycomics, focusing on complex carbohydrate structures.
- Existing data mining and algorithmic methods for glycan analysis are not always accessible as user-friendly tools for researchers.
- The complexity of glycans necessitates advanced computational approaches for deeper understanding.
Purpose of the Study:
- To develop and provide a comprehensive, freely accessible web resource for the glycobiology community.
- To integrate cutting-edge data mining and algorithmic techniques into practical tools for glycan data analysis.
- To facilitate the analysis of complex glycan structures and pathways.
Main Methods:
- Development of RINGS (Resource for INformatics of Glycomes at Soka), a web-based platform.
- Implementation of a 2D glycan drawing and querying interface (DrawRINGS).
- Integration of a Glycan Pathway Predictor (GPP) for N-glycan biosynthesis pathway computation.
- Inclusion of data mining tools such as Glycan Miner Tool and Profile PSTMM.
Main Results:
- RINGS provides a unified platform with multiple tools for glycan data analysis.
- DrawRINGS enables intuitive visualization and querying of glycan structures.
- GPP allows dynamic computation of N-glycan biosynthesis pathways.
- Glycan Miner Tool and Profile PSTMM offer advanced data mining capabilities.
Conclusions:
- RINGS enhances the ability of glycobiologists to analyze complex glycan data.
- The resource democratizes access to advanced computational tools in glycomics.
- RINGS serves as a valuable asset for advancing research in glycobiology and related fields.
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