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SeQuery: an interactive graph database for visualizing the GPCR superfamily
Geng-Ming Hu1, M K Secario1,2, Chi-Ming Chen1
1Department of Physics, National Taiwan Normal University, 88 Sec. 4 Ting-Chou Rd., Taipei 11677, Taiwan.
Summary
SeQuery is a new tool that visualizes protein and gene networks. It accurately identifies G protein-coupled receptors (GPCRs) and explores their superfamily relationships.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics and Proteomics
Background:
- The rapid discovery of novel protein and gene sequences in the omics era presents challenges for biological characterization.
- Efficient analysis of complex biological networks requires integrated data and intuitive visualization tools.
Purpose of the Study:
- To develop SeQuery, a web-based graphical database tool for visualizing proteome/genome networks.
- To enable efficient identification and characterization of protein sequences within biological superfamilies.
- To provide a comprehensive, interactive exploration of biological networks, exemplified by the G protein-coupled receptor (GPCR) superfamily.
Main Methods:
- Development of a web-based graphical database tool (SeQuery).
- Integration of sequential, structural, and functional information from databases like UniProt, GPCRdb, and RCSB PDB.
- Construction of a graph database for the G protein-coupled receptor (GPCR) superfamily.
- Testing SeQuery's accuracy using the GPCR2841 dataset.
Main Results:
- SeQuery successfully identifies 99 out of 100 queried protein sequences in the GPCR superfamily.
- The tool provides intuitive visualization of proteome/genome networks.
- Demonstrated ability to define sequential and functional roles within the GPCR superfamily.
Conclusions:
- SeQuery offers an effective solution for analyzing and visualizing complex biological sequence data.
- The tool facilitates a comprehensive understanding of biological superfamilies through interactive graph exploration.
- SeQuery is adaptable for other biological networks and can be expanded with additional databases.
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