Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

+44 1223 790975


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

Ranjith N. Kumavath and Pratap D

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.