Topology and weights in a protein domain interaction network--a novel way to predict protein interactions.

ABSTRACT:

Background

While the analysis of unweighted biological webs as diverse as genetic, protein and metabolic networks allowed spectacular insights in the inner workings of a cell, biological networks are not only determined by their static grid of links. In fact, we expect that the heterogeneity in the utilization of connections has a major impact on the organization of cellular activities as well.

Results

We consider a web of interactions between protein domains of the Protein Family database (PFAM), which are weighted by a probability score. We apply metrics that combine the static layout and the weights of the underlying interactions. We observe that unweighted measures as well as their weighted counterparts largely share the same trends in the underlying domain interaction n

SUBMITTER: Wuchty S 

PROVIDER: S-EPMC1523346 | biostudies-literature | 2006 May

REPOSITORIES: biostudies-literature