Finding Collections of Protein Modules in Protein-Protein Interaction Networks

Pierre-Nicolas Mougel 1, 2 Christophe Rigotti 1, 2, 3, * Olivier Gandrillon 4, 5
* Corresponding author
2 BEAGLE - Artificial Evolution and Computational Biology
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information, Inria Grenoble - Rhône-Alpes, LBBE - Laboratoire de Biométrie et Biologie Evolutive - UMR 5558
3 DM2L - Data Mining and Machine Learning
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 DRACULA - Multi-scale modelling of cell dynamics : application to hematopoiesis
CGPhiMC - Centre de génétique et de physiologie moléculaire et cellulaire, Inria Grenoble - Rhône-Alpes, ICJ - Institut Camille Jordan [Villeurbanne]
Abstract : We propose a data mining method to analyse protein-protein interaction (PPI) networks where biological properties are associated to the proteins. In this context, we find collections of several protein modules (set of proteins in interaction) such that all proteins in a collection share a set of biological properties. Such structure, named Collection of Homogeneous Protein Modules (CHPM), allows the analyst to get a larger picture when analysing a network of proteins. Our method is applied to a PPI network associated with gene expression data and we show that 70\% of the patterns found are significantly associated to a biological function.
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https://hal.inria.fr/hal-00758858
Contributor : Christophe Rigotti <>
Submitted on : Thursday, November 29, 2012 - 2:26:57 PM
Last modification on : Wednesday, November 20, 2019 - 3:24:45 AM

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  • HAL Id : hal-00758858, version 1

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Pierre-Nicolas Mougel, Christophe Rigotti, Olivier Gandrillon. Finding Collections of Protein Modules in Protein-Protein Interaction Networks. Bioinformatics and Computational Biology (BICoB), 2012, Las Vegas, United States. pp.216-222. ⟨hal-00758858⟩

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