ArticleJournal of biomedicine & biotechnology2012
MOfinder: a novel algorithm for detecting overlapping modules from protein-protein interaction network.
Article in Journal of biomedicine & biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- A Network Pharmacology Approach to Uncover the Molecular Mechanisms of Herbal Formula Ban-Xia-Xie-Xin-Tang.Evidence-based complementary and alternative medicine : eCAM · 2018Article
- Community structure detection for overlapping modules through mathematical programming in protein interaction networks.PloS one · 2014Article
- Benchmarking human protein complexes to investigate drug-related systems and evaluate predicted protein complexes.PloS one · 2013Article
- GoSynthetic database tool to analyse natural and engineered molecular processes.Database : the journal of biological databases and curation · 2013Article
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3 authors.
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Abstract
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.
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