Modularity analysis based on predicted protein-protein interactions provides new insights into pathogenicity and cellular process of Escherichia coli O157:H7Reportar como inadecuado




Modularity analysis based on predicted protein-protein interactions provides new insights into pathogenicity and cellular process of Escherichia coli O157:H7 - Descarga este documento en PDF. Documentación en PDF para descargar gratis. Disponible también para leer online.

Theoretical Biology and Medical Modelling

, 8:47

First Online: 22 December 2011Received: 27 October 2011Accepted: 22 December 2011DOI: 10.1186-1742-4682-8-47

Cite this article as: Wang, X., Yue, J., Ren, X. et al. Theor Biol Med Model 2011 8: 47. doi:10.1186-1742-4682-8-47

Abstract

BackgroundWith the development of experimental techniques and bioinformatics, the quantity of data available from protein-protein interactions PPIs is increasing exponentially. Functional modules can be identified from protein interaction networks. It follows that the investigation of functional modules will generate a better understanding of cellular organization, processes, and functions. However, experimental PPI data are still limited, and no modularity analysis of PPIs in pathogens has been published to date.

ResultsIn this study, we predict and analyze the functional modules of E. coli O157:H7 systemically by integrating several bioinformatics methods. After evaluation, most of the predicted modules are found to be biologically significant and functionally homogeneous. Six pathogenicity-related modules were discovered and analyzed, including novel modules. These modules provided new information on the pathogenicity of O157:H7. The modularity of cellular function and cooperativity between modules are also discussed. Moreover, modularity analysis of O157:H7 can provide possible candidates for biological pathway extension and clues for discovering new pathways of cross-talk.

ConclusionsThis article provides the first modularity analysis of a pathogen and sheds new light on the study of pathogens and cellular processes. Our study also provides a strategy for applying modularity analysis to any sequenced organism.

Electronic supplementary materialThe online version of this article doi:10.1186-1742-4682-8-47 contains supplementary material, which is available to authorized users.

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Autor: Xia Wang - Junjie Yue - Xianwen Ren - Yuelan Wang - Mingfeng Tan - Beiping LI - Long Liang

Fuente: https://link.springer.com/







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