Journal
JOURNAL OF DRUG TARGETING
Volume 17, Issue 7, Pages 524-532Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/10611860903046610
Keywords
Drug-target; protein-protein interaction; bioinformatics; topological property
Categories
Funding
- National Natural Science Foundation of China [30370798, 30571034, 30570424]
- National High Tech Development Project of China
- 863 Program [2007AA02Z329]
- National Basic Research Program of China
- 973 Program [2008CB517302]
- National Science Foundation of Heilongjiang Province [ZJG0501, 1055HG009, GB03C602-4, BMFH060044]
- Science Technology development project of Beijing Municipal Commission of Education [KM200610025011]
- New Century Hundred-Thousand-Ten Thousand Talents Project of Beijing City
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Analyzing topological properties of drug-target proteins in the biology network is very helpful in under standing 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 topo logical 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.
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