Paper
Identifying Drug Target Candidates from a Cancer-Related Disease Network
- Authors:
- Jea Woon Ryu; Chom Kyu Chong; Jae Soo Yoo; Hak Yong Kim
- Abstract
- Experimental methods such as high-throughput screening have been widely used for the discovery of new drug targets. Genes or proteins close to one another in a network can govern similar functions and diseases. In an effort to predict new disease-related genes or proteins, we hypothesized that a network-neighbor of a disease-related gene or protein could cause the same or similar diseases. First, we constructed a cancer-related human disease network based on the known cancer-related genes and proteins. We obtained 60 diseasomal proteins that appeared to be involved at least cancers and/or other diseases, and chose them as potential drug targets. We then compared the cancer-related target proteins with a cancer-related drug target dataset obtained from DrugBank. Excluding 17 diseasomal proteins that have been already targeted by approved drugs, we identified 43 proteins as putative drug candidates for controlling cancer and/or cancer-related diseases.
- Keywords
- Co-morbidity; Diseasome; Disease Network; Drug Target Proteome; Protein Network
- StartPage
- 126
- EndPage
- 130
- Doi
- 10.5963/BER0203001