By Topic

A cross-species study of the protein-protein interaction networks via the random graph approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Ka-Lok Ng ; Dept. of Bioinformatics, Taichung Healthcare & Manage. Univ., Taiwan ; Chien-Hung Huang

We employed the random graph theory approach to analyze the protein-protein interacting database DIP, for six different species (S. cerevisiae, H. pylori, E. coli, H. sapiens, M. musculus and D. melanogaster). Two global topological parameters (node connectivity, average diameter) were used to characterize these protein-protein interaction networks (PINs). The logarithm of the connectivity distribution vs. the logarithm of connectivity plot indicates that it follows a power law behavior quite well for the six species. We also demonstrated that the interaction networks are quite robust when subject to random perturbation. Node degree correlation study supports the earlier results that nodes of low connectivity are correlated, whereas nodes of high connectivity are not directly linked. These results provided some evidence suggesting such correlation relations might be a general feature of the PINs across different species.

Published in:

Bioinformatics and Bioengineering, 2004. BIBE 2004. Proceedings. Fourth IEEE Symposium on

Date of Conference:

19-21 May 2004