A Gene Ontology based approach to protein complex detection

Protein-Protein Interaction (PPI) networks are believed to be important sources of information related to biological processes and complex metabolic functions of the cell. Identifying protein complexes are of great importance for understanding cellular organization and functions of organisms. In this work, we propose a method to find protein complexes in a PPI network based on topological structure, incorporating GO information in the clustering process. Our method has been biologically validated by GO semantic similarity score and co-localization score, and satisfactory results have been obtained. We also compare our method with six well known methods and obtain better results in terms of various parameters.