Related Experiment Video
Updated: Jun 4, 2026

Mapping Dysfunctional Protein-Protein Interactions in Disease
Published on: October 24, 2025
Connectedness of PPI network neighborhoods identifies regulatory hub proteins
Andrew D Fox1, Benjamin J Hescott, Anselm C Blumer
1Department of Computer Science, Tufts University, Medford, MA 02155, USA. fox.andrew.d@gmail.com
Motivation:
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.
Results:
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.
Availability:
Code is available at http://bcb.cs.tufts.edu/hubcomps.
Contact:
fox.andrew.d@gmail.com; slonim@cs.tufts.edu
Supplementary Information:
Supplementary data are available at Bioinformatics online.
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