Compensatory interactions to stabilize multiple steady states or mitigate the effects of multiple deregulations in biological networks

Gang Yang, Colin Campbell, Réka Albert

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Complex diseases can be modeled as damage to intracellular networks that results in abnormal cell behaviors. Network-based dynamic models such as Boolean models have been employed to model a variety of biological systems including those corresponding to disease. Previous work designed compensatory interactions to stabilize an attractor of a Boolean network after single node damage. We generalize this method to a multinode damage scenario and to the simultaneous stabilization of multiple steady state attractors. We classify the emergent situations, with a special focus on combinatorial effects, and characterize each class through simulation. We explore how the structural and functional properties of the network affect its resilience and its possible repair scenarios. We demonstrate the method's applicability to two intracellular network models relevant to cancer. This work has implications in designing prevention strategies for complex disease.

Original languageEnglish (US)
Article number062316
JournalPhysical Review E
Volume94
Issue number6
DOIs
StatePublished - Dec 28 2016

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Fingerprint Dive into the research topics of 'Compensatory interactions to stabilize multiple steady states or mitigate the effects of multiple deregulations in biological networks'. Together they form a unique fingerprint.

  • Cite this