PathBLAST: a tool for alignment of protein interaction networks.

Area of Science:

• Bioinformatics
• Computational Biology
• Systems Biology

Background:

• Protein interaction networks are crucial for understanding cellular functions.
• Identifying conserved pathways across species aids in functional annotation and evolutionary studies.
• Existing tools primarily focus on sequence comparison, necessitating network-level comparative approaches.

Purpose of the Study:

• To introduce PathBLAST, a novel network alignment and search tool.
• To enable the comparison of protein interaction networks across different species.
• To facilitate the identification of evolutionarily conserved protein pathways and complexes.

Main Methods:

• PathBLAST employs a method searching for high-scoring alignments between protein interaction paths.
• It pairs proteins in one path with putative orthologs in the same order within another path.
• The tool uses a web-based query system for user-specified paths against target networks.

Main Results:

• PathBLAST effectively discriminates between true and false-positive interactions.
• It allows for functional annotation of protein interaction pathways based on cross-species network similarity.
• The tool provides ranked lists of matching paths and visualizations of their overlaps.

Conclusions:

• PathBLAST advances comparative genomics by enabling network-level comparisons.
• It serves as a valuable tool for discovering conserved biological pathways and complexes.
• The availability of PathBLAST as a web-based query enhances its accessibility for researchers.