Identification of Drug Targets from Integrated Database of Diabetes Mellitus Genes Using Protein-Protein Interactions

In this paper, we looked at clustering coefficient, one of the statistics commonly used to study protein interaction networks. We have calculated clustering coefficient to identify the potential drug targets for Diabetes Mellitus (DM). An integrated database of DM genes has been developed by mining various repositories. Protein-protein interaction (PPI) network for the DM genes was constructed. Various centrality measures for the PPI network were calculated. In this study we considered the top 10 genes from the 15 centrality measures and further we calculated the clustering coefficient to find the potential drug targets.