| Abstract |
With an average 5-year survival rate of 6%, pancreatic cancer is one of the biggest leading cause of cancer-related deaths in humans. When caused, the cells exhibit abnormal gene expression than regular cells, and more than 120 proteins are over-expressed. Through a bioinformatics analysis based on data obtained from multiple databases, influential disease-causing proteins in pancreatic cancer lacking effective treatments were found. By constructing protein-protein interaction maps along with drug and gene to protein networks, proteins were ranked based on number of connections each exhibited, and important proteins that have very low drug association level were further identified. Three proteins RBBP8, CDKN2A, and KRAS were further analyzed based on chemical structure comparison. |
