The analysis of the drug-targets based on the topological properties in the human protein-protein interaction network.
Analyzing topological properties of drug-target proteins in the biology network is very helpful in understanding the mechanism of drug action. However, comprehensive studies to elaborately characterize the biological network features of drug-target proteins are still lacking. In this paper, we compared the topological properties of drug-targets with those of the non-drug-target sets, by mapping the drug-targets in DrugBank to the human protein interaction network. The results indicate that the topological properties of drug-targets are significantly distinguishable from those of non-drug-targets. Moreover, the potential possibility of drug-target prediction based on these properties is discussed. All proteins in the interaction network were ranked by their topological properties. Among the top 200 proteins, 94 overlapped with drug-targets in DrugBank and some novel predictions were found to be drug-targets in public literatures and other databases. In conclusion, our method explores the topological properties of drug-targets in the human protein interaction network by exploiting the large-scale drug-targets and protein interaction data.
Zhu
Mingzhu
M
School of Biomedical Engineering, Capital University of Medical Sciences, Beijing, People's Republic of China.
Gao
Lei
L
Li
Xia
X
Liu
Zhicheng
Z
Xu
Chun
C
Yan
Yuqing
Y
Walker
Erin
E
Jiang
Wei
W
Su
Bin
B
Chen
Xiujie
X
Lin
Hui
H
D016208:Databases, Factual; D016503:Drug Delivery Systems; D006801:Humans; D004364:Pharmaceutical Preparations / Q000378:metabolism*; D011487:Protein Conformation; D025941:Protein Interaction Mapping / Q000379:methods*; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism
D004364:Pharmaceutical Preparations; D011506:Proteins