Unknown

Dataset Information

0

Connectedness of PPI network neighborhoods identifies regulatory hub proteins.


ABSTRACT: With the growing availability of high-throughput protein-protein interaction (PPI) data, it has become possible to consider how a protein's local or global network characteristics predict its function.We introduce a graph-theoretic approach that identifies key regulatory proteins in an organism by analyzing proteins' local PPI network structure. We apply the method to the yeast genome and describe several properties of the resulting set of regulatory hubs. Finally, we demonstrate how the identified hubs and putative target gene sets can be used to identify causative, functional regulators of differential gene expression linked to human disease.Code is available at http://bcb.cs.tufts.edu/hubcomps.fox.andrew.d@gmail.com; slonim@cs.tufts.eduSupplementary data are available at Bioinformatics online.

SUBMITTER: Fox AD 

PROVIDER: S-EPMC3072558 | biostudies-literature | 2011 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Connectedness of PPI network neighborhoods identifies regulatory hub proteins.

Fox Andrew D AD   Hescott Benjamin J BJ   Blumer Anselm C AC   Slonim Donna K DK  

Bioinformatics (Oxford, England) 20110302 8


<h4>Motivation</h4>With the growing availability of high-throughput protein-protein interaction (PPI) data, it has become possible to consider how a protein's local or global network characteristics predict its function.<h4>Results</h4>We introduce a graph-theoretic approach that identifies key regulatory proteins in an organism by analyzing proteins' local PPI network structure. We apply the method to the yeast genome and describe several properties of the resulting set of regulatory hubs. Fina  ...[more]

Similar Datasets

| S-EPMC3098085 | biostudies-literature
| S-EPMC3778161 | biostudies-other
| S-EPMC6339728 | biostudies-literature
| S-EPMC6916361 | biostudies-literature
| S-EPMC10289659 | biostudies-literature
| S-EPMC8292838 | biostudies-literature
| S-EPMC2292138 | biostudies-literature
| S-EPMC8627320 | biostudies-literature
| S-EPMC10619671 | biostudies-literature
| S-EPMC7593058 | biostudies-literature