Multi-level integrative analysis of protein-protein interaction networks: Connecting completeness, depth and robustness

Jaine K. Blayney, Huiru Zheng*, Haiying Wang, Francisco Azuaje

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

A fully extended Protein-Protein Interaction (PPI) network can consist of upwards of several thousand nodes and edges. To simplify analysis, smaller child samples are often used in substitution of the global network. In this study, the impact of different levels of sampling was evaluated on six PPI networks. Results from the case studies suggest that restricting analysis to the first network level, using metrics such as degree and BC, could lead to misrepresentative results, omitting potentially significant nodes. Fault-tolerance analysis also indicates that key nodes within the second network level, and above, contribute to the stability of the global network.

Original languageEnglish
Pages (from-to)31-51
Number of pages21
JournalInternational Journal of Computational Biology and Drug Design
Volume3
Issue number1
DOIs
Publication statusPublished - Aug 2010
Externally publishedYes

Keywords

  • Depth
  • Network analysis
  • Protein-protein interactions
  • Sampling
  • Stability

ASJC Scopus subject areas

  • Drug Discovery
  • Computer Science Applications

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