Diabetes mellitus type II affects around 8 percent of the total adult population in the world. It is the fifth leading cause of death in high income countries and an epidemic in developing countries. We analyze protein-protein interaction data of the pancreatic cells for normal and disease states. The analysis exhibits overall structural similarities in the normal and disease networks. The important differences are revealed through specific interaction patterns and eigenvector analyses. The top contributing nodes from localized eigenvectors as well as those being part of specific interaction patterns turn out to be significant for the occurrence of the disease. The analysis provides a direction for further development of novel drugs and therapies in curing the disease by targeting specific patterns instead of a single node.
@article{arxiv.1410.2071,
title = {Interaction patterns in diabetes mellitus II network: An RMT relation},
author = {Sarika Jalan and Aparna Rai and Amit Kumar Pawar},
journal= {arXiv preprint arXiv:1410.2071},
year = {2014}
}