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Conserved patterns of protein interaction in multiple species
Roded Sharan1, Silpa Suthram, Ryan M Kelley
1Computer Science Division, University of California, Berkeley, CA 94704, USA.
Summary
Comparing protein-protein interaction networks across species revealed conserved regions and identified thousands of new protein functions and interactions. This network analysis provides biological insights beyond genome sequencing alone.
Area of Science:
- Comparative genomics
- Systems biology
- Bioinformatics
Background:
- Understanding complex cellular machinery requires analyzing protein-protein interactions.
- Existing methods often rely on sequence similarity, potentially missing functional insights.
Purpose of the Study:
- To compare protein-protein interaction networks across different species (Caenorhabditis elegans, Drosophila melanogaster, Saccharomyces cerevisiae).
- To identify conserved and species-specific network regions.
- To discover novel protein functions and interactions.
Main Methods:
- Integrated protein interaction and sequence data for multiple species.
- Performed a multiple comparison of protein-protein interaction networks.
- Utilized two-hybrid analysis to validate predicted interactions in yeast.
Main Results:
- Identified 71 conserved network regions across all three species.
- Discovered 4,645 new protein functions and 2,609 new protein interactions.
- Confirmed approximately 50% of 60 predicted yeast interactions via two-hybrid analysis.
- Found that network comparisons reveal information not obtainable from sequence similarity alone.
Conclusions:
- Cross-species network comparison is a powerful tool for elucidating cellular machinery.
- This approach significantly expands the knowledge of protein functions and interactions.
- Network analysis offers complementary and essential biological information beyond genomic data.