The reliability of the Degree Distribution of Protein-Protein Interaction Network in Different Species

被引：0

作者：

Guo, Ling ^{[1
]}

Pan, Huan ^{[2
]}

Nian, Xiaohong ^{[3
]}

Bing, Zhitong ^{[4
]}

机构：

[1] Northwest Univ Nationalities, Coll Elect Engn, Lanzhou 730030, Peoples R China

[2] Ningxia Univ, Coll Phys Elect Informat Engn, Yinchuan 750021, Peoples R China

[3] Cent South Univ, Coll Informat Sci & Engn, Changsha 410075, Hunan, Peoples R China

[4] Chinese Acad Sci, Inst Modern hys, Lanzhou 730000, Peoples R China

来源：

2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2015年

关键词：

Protein-protein interaction; power-law; protein interaction networks; stretched-exponential distribution;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Protein-protein interaction (PPI) networks play a vital role in living cells. The possible error and bias in collecting protein-protein interaction network data are mainly factors to influence the reliability of the degree distribution of PPI networks. In this study, three factors including the false positive interaction of the PPI experiments, the different annotating of a protein in different protein databases, and the data newly added in the protein databases are considered as Important influence factors to investigate the degree distribution of PPI networks. The results show that in the present data, the stretched-exponential distribution is the best one for describing the degree distribution of PPI networks and it is robust to these factors.

引用

页码：645 / 648

页数：4

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