MOfinder : A Novel Algorithm for Detecting Overlapping Modules from Protein-Protein Interaction Network

Abstract EN

Since organism development and many critical cell biology processes are organized in modular patterns, many algorithms have been proposed to detect modules.

In this study, a new method, MOfinder, was developed to detect overlapping modules in a protein-protein interaction (PPI) network.

We demonstrate that our method is more accurate than other 5 methods.

Then, we applied MOfinder to yeast and human PPI network and explored the overlapping information.

Using the overlapping modules of human PPI network, we constructed the module-module communication network.

Functional annotation showed that the immune-related and cancer-related proteins were always together and present in the same modules, which offer some clues for immune therapy for cancer.

Our study around overlapping modules suggests a new perspective on the analysis of PPI network and improves our understanding of disease.