alexa Comparative Network Analysis of Two-Component Signal Tr
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
Open Access

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Research Article

Comparative Network Analysis of Two-Component Signal Transducing Protein-Protein Interactions in Enterococcus faecalis Sp.

Ranjith N. Kumavath* and Pratap D

Department of Genomic Science, School of Biological Sciences, Central University of Kerala, Riverside Transit Campus, Kasaragod, Kerala, India

*Corresponding Author:
Dr. Ranjith N. Kumavath
Department of Genomic Science
School of Biological Sciences
Central University of Kerala
Riverside Transit Campus
Padanakkad (P.O) Kasaragod-671314
Kerala, India
Tel: +91 8547648620
Fax: 0467-2282250
E-mail: [email protected]

Received Date: September 22, 2012; Accepted Date: November 14, 2012; Published Date: November 16, 2012

Citation: Kumavath RN, Pratap D (2012) Comparative Network Analysis of Two-Component Signal Transducing Protein-Protein Interactions in Enterococcus faecalis Sp. J Proteomics Bioinform 5: 270-278. doi: 10.4172/jpb.1000249

Copyright: © 2012 Kumavath RN, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Background: Protein-Protein interactions network analysis of Enterococcus faecalis sp. in a comparative
approach helps for the dissection of gene function, potential signal transduction, and virulence  pathways. Our research shed light on the comparative network analysis of two component signal transducing protein-protein interactions in ten different Enterococcus faecalis strains on the base of protein interactions prediction analysis and Host-Pathogen Interactions analysis using STRING and HPIDB databases. Around 30-40 proteins participate in the Two Component System of Enterococcus faecalis.


Results: The network parameters of protein-protein interactions were calculated. The topological coefficient of almost all the strains of Enterococcus faecalis network perfectly followed a power law distribution (correlation) 1.000; R-squared) 1.000 and represented the best fit. We have figured out a protein (EF_3329) DNA-binding response regulator, which is not participating in the entire protein interactions network except the X86 strains of Enterococcus faecalis. We have detected out one sub network which is not at all having any interactions with the main network except in the Enterococcus faecalis D6.


Conclusions: This is a novel comparative study on Enterococcus faecalis two component system which
provides a useful resource for further analysis of protein interactions of two component signal transductions in other life threatening pathogens. The further analysis spots the light on insilco inhibitor screening which helps in the designing of novel drugs.

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