Protein interaction network and drug design of stomach cancer and associated disease: a bioinformatics approach

Abstract

In this research, seven diseases OB (Obesity), SC (Stomach Cancer), CC (Colorectal Cancer), PC (Pancreatic Cancer), PRC (Prostate Cancer), LK (Leukemia), MD (Metabolic Disorder) has been encountered to analyze the network. When one or few diseases among them affects human there will be a possibility for them to be affected by the other diseases. Previous studies indicate that there are large numbers of similar biological and genetic characteristics among the seven disease. Common gene network models among these diseases have been explored for this reason. The genes obtained were compared and number of the gene has been decreased by the preprocessing and filtering process. After the filtering process, 9 common genes among seven related disease has been extracted. Topological properties, protein interactions network, enrichment analysis, co-expression network analysis, gene regulatory network, and physical interaction network are analyzed in this research. The substantial hub proteins based on biological, genetic and biochemical relationships among common genes has been identified by this analysis. Drug signature suggestion implies the 9 hub proteins which has been identified by PPI, GRN, gene interaction protein network. Finally, Protein chemical interaction and gene-disease interaction network indicated 6 significant genes and 9 significant genes consecutively for drug design. Network Enrichment shows the 9 common hub proteins interaction with other related genes. This analysis helps us to identify drug design pathway with chemical interactions. By applying further examining and studies those gene structures, it may be able to notify us to take precautionary steps to reduce the risk of Stomach Cancer and Associated disease.