Failure Tolerance of Motif Structure in Biological Networks
2011

Failure Tolerance of Motif Structure in Biological Networks

Sample size: 299 publication Evidence: moderate

Author Information

Author(s): Mirzasoleiman Baharan Jalili, Mahdi Jalili

Primary Institution: Sharif University of Technology

Hypothesis

How do random and systematic failures in the edges of biological networks influence their motif structure?

Conclusion

The study found that removing edges connected to high degree nodes has the most destructive effect on the motif structure of biological networks.

Supporting Evidence

  • Removing edges connected to high degree nodes had the most catastrophic influence on the motif structure.
  • Random failures can be as effective as systematic attacks in influencing motif structure.
  • Systematic removal based on betweenness centrality had the least influence on motif significance.

Takeaway

This study looked at how breaking connections in biological networks affects their important patterns, called motifs. It found that breaking certain connections can really change how these patterns work.

Methodology

The study analyzed two biological networks using various strategies for edge removal and calculated the significance of network motifs.

Statistical Information

P-Value

p<0.001

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1371/journal.pone.0020512

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication