NetAligner

NetAligner aligns protein–protein interaction networks and predicts conserved interactions across species to identify conserved protein complexes and pathways and assess evolutionary functional conservation.

Key Features:

• Network Alignment: Aligns interaction networks between different species to identify conserved protein complexes and pathways.
• Prediction of Conserved Interactions: Predicts conserved interactions based on evolutionary distances to mitigate incomplete interaction networks.
• Statistical Significance Assessment: Evaluates the statistical significance of alignment solutions to improve reliability and performance of results.
• Comprehensive Coverage: Supports complex, pathway, and interactome-to-interactome alignments across seven model organisms: Homo sapiens, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Arabidopsis thaliana, Saccharomyces cerevisiae, and Escherichia coli.

Scientific Applications:

• Conserved complex and pathway identification: Identifies conserved protein complexes and pathways to provide insights into molecular evolution and functional conservation.
• Interactome reconstruction: Predicts missing interactions using evolutionary data to aid reconstruction of incomplete interactomes.

Methodology:

Performs network-to-network alignment, predicts conserved interactions using evolutionary distances, and assesses statistical significance of alignment solutions.