By Topic

Discovery of cancer-related new drug target proteins from re-constructed human disease network based on protein-protein interaction netowk

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yoon Kyeong Lee ; Department of Bio and Information Technology, Chungbuk National University, Cheongju, Republic of Korea ; Hak Yong Kim

Experimental methods such as high-throughput screening have widely used for discovery of the new drug targets. We employed an idea that disease-related proteins tend to be work as an important factor for architecture of the disease network in this study. To determine new drug target proteins, we proposed a new methodology that analyzes the human disease network by using informational technology. We re-constructed cancer-related human disease network based on the protein-protein interaction network. We derived 105 cancer related new drug-target proteins from the disease network. To evaluate our method, first of all, we extracted the cancer-related target genes that independently obtained from the human gene network introduced by Barabasi et al. The cancer-related target genes and proteins compared with cancer-related target gene dataset obtained from DrugBank. Our results from disease-related network have 81% identity with the cancer-related target genes (164) from the DrugBank. In contrast, the target genes from the human gene network have only 71% identity. These results suggest that our new methodology will contribute for discovering drug target proteins.

Published in:

Bioinformatics and Biomedicine Workshop, 2009. BIBMW 2009. IEEE International Conference on

Date of Conference:

1-4 Nov. 2009