SynechoNET: A Database for Protein-Protein Interactions in Cyanobacteria
Author Information
Author(s): Kim Woo-Yeon, Kang Sungsoo, Kim Byoung-Chul, Oh Jeehyun, Cho Seongwoong, Bhak Jong, Choi Jong-Soon
Primary Institution: Korean BioInformation Center, KRIBB
Hypothesis
There is no existing web-based database for regulatory and signaling protein-protein interaction networks in cyanobacteria.
Conclusion
SynechoNET is a freely available database that helps biologists analyze regulatory membrane proteins in cyanobacteria by predicting their interactions and membrane topology.
Supporting Evidence
- SynechoNET integrates data from multiple protein-protein interaction databases.
- It provides information on transmembrane topology and domain structure.
- The database is designed for biologists studying the unicellular cyanobacterium Synechocystis.
Takeaway
SynechoNET is like a big library that helps scientists find out how proteins in a tiny organism called cyanobacteria work together.
Methodology
The database integrates data from four public protein-protein interaction databases to predict interactions and provides user-friendly web interfaces for querying and visualizing data.
Limitations
The database may not cover all possible interactions and relies on existing public databases for its predictions.
Digital Object Identifier (DOI)
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