The analysis of the drug-targets based on the topological properties in human protein-protein interaction network

Mingzhu Zhu; Lei Gao; Xia Li; Zhicheng Liu; Chun Xu; Yuqing Yan; Erin Walker; Wei Jiang; Bin Su; Xiujie Chen; Hui Lin

doi:10.1080/10611860903046610

The analysis of the drug-targets based on the topological properties in human protein-protein interaction network

Mingzhu Zhu, Lei Gao, Xia Li, Zhicheng Liu, Chun Xu, Yuqing Yan, Erin Walker, Wei Jiang, Bin Su, Xiujie Chen, Hui Lin

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	524-532
Number of pages	9
Journal	Journal of Drug Targeting
Volume	17
Issue number	7
DOIs	https://doi.org/10.1080/10611860903046610
Publication status	Published - 2009
Externally published	Yes

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10.1080/10611860903046610

Cite this

@article{ea64230457d54144b6842ed0d24748dc,

title = "The analysis of the drug-targets based on the topological properties in human protein-protein interaction network",

abstract = "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.",

author = "Mingzhu Zhu and Lei Gao and Xia Li and Zhicheng Liu and Chun Xu and Yuqing Yan and Erin Walker and Wei Jiang and Bin Su and Xiujie Chen and Hui Lin",

year = "2009",

doi = "10.1080/10611860903046610",

language = "English",

volume = "17",

pages = "524--532",

journal = "Journal of Drug Targeting",

issn = "1029-2330",

publisher = "Informa Healthcare",

number = "7",

}

TY - JOUR

T1 - The analysis of the drug-targets based on the topological properties in human protein-protein interaction network

AU - Zhu, Mingzhu

AU - Gao, Lei

AU - Li, Xia

AU - Liu, Zhicheng

AU - Xu, Chun

AU - Yan, Yuqing

AU - Walker, Erin

AU - Jiang, Wei

AU - Su, Bin

AU - Chen, Xiujie

AU - Lin, Hui

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

U2 - 10.1080/10611860903046610

DO - 10.1080/10611860903046610

M3 - Article

SN - 1029-2330

VL - 17

SP - 524

EP - 532

JO - Journal of Drug Targeting

JF - Journal of Drug Targeting

IS - 7

ER -