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Applied Mathematics and Mechanics

, Volume 36, Issue 6, pp 827–834 | Cite as

Yeast protein-protein interaction network model based on biological experimental data

  • Chunhong Wang
  • Shuiming Cai
  • Zengrong LiuEmail author
  • Youwen Chen
Article
  • 79 Downloads

Abstract

Duplication and divergence have been widely recognized as the two dominant evolutionary forces in shaping biological networks, e.g., gene regulatory networks and protein-protein interaction (PPI) networks. It has been shown that the network growth models constructed on the principle of duplication and divergence can recapture the topological properties of real PPI networks. However, such network models only consider the evolution processes. How to select the model parameters with the real biological experimental data has not been presented. Therefore, based on the real PPI network statistical data, a yeast PPI network model is constructed. The simulation results indicate that the topological characteristics of the constructed network model are well consistent with those of real PPI networks, especially on sparseness, scale-free, small-world, hierarchical modularity, and disassortativity.

Key words

yeast duplication-divergence protein-protein interaction (PPI) network disassortativity 

Chinese Library Classification

TN711 

2010 Mathematics Subject Classification

05C82 

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Copyright information

© Shanghai University and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Chunhong Wang
    • 1
  • Shuiming Cai
    • 2
  • Zengrong Liu
    • 1
    • 3
    Email author
  • Youwen Chen
    • 1
  1. 1.Department of MathematicsShanghai UniversityShanghaiChina
  2. 2.Faculty of ScienceJiangsu UniversityZhenjiangJiangsu Province, China
  3. 3.Institute of Systems BiologyShanghai UniversityShanghaiChina

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