Protein interaction networks from yeast to human

Area of Science:

• Bioinformatics
• Systems Biology
• Computational Biology

Background:

• Protein interaction networks consolidate extensive protein-protein interaction data from diverse experimental sources.
• Recent advancements include a surge in metazoan data and analyses of network properties like topology and evolution.
• Limited high-throughput mapping of the human proteome necessitates cross-species information transfer.

Purpose of the Study:

• To highlight the growing importance of transferring protein interaction information within and across species.
• To emphasize the critical role of data integration and quality control in reconstructing reliable protein networks, particularly for the human interactome.

Main Methods:

• Review and synthesis of recent experimental data and computational analyses in protein interaction networks.
• Discussion of data integration and quality control strategies for network reconstruction.

Main Results:

• Significant increase in experimental protein interaction data, especially for metazoans.
• Advancements in analyzing network topology, modularity, and evolution.
• Identification of data integration and quality control as key challenges.

Conclusions:

• Transferring interaction information across species is vital for human proteome network reconstruction.
• Robust data integration and quality control are essential for building accurate protein interaction networks.
• Future efforts must focus on overcoming these challenges to advance systems biology.