Background: Biological network alignment has been widely studied in the context of
protein-protein interaction (PPI) networks, metabolic networks and others in bioinformatics. The
topological structure of networks and genomic sequence are generally used by existing methods for
achieving this task.
Objective and Method: Here we briefly survey the methods generally used for this task and introduce a
variant with incorporation of functional annotations based on similarity in Gene Ontology (GO).
Making full use of GO information is beneficial to provide insights into precise biological network
Results and Conclusion: We analyze the effect of incorporation of GO information to network
alignment. Finally, we make a brief summary and discuss future directions about this topic.