Molecular network control through boolean canalization

David Murrugarra, Elena S. Dimitrova

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Boolean networks are an important class of computational models for molecular interaction networks. Boolean canalization, a type of hierarchical clustering of the inputs of a Boolean function, has been extensively studied in the context of network modeling where each layer of canalization adds a degree of stability in the dynamics of the network. Recently, dynamic network control approaches have been used for the design of new therapeutic interventions and for other applications such as stem cell reprogramming. This work studies the role of canalization in the control of Boolean molecular networks. It provides a method for identifying the potential edges to control in the wiring diagram of a network for avoiding undesirable state transitions. The method is based on identifying appropriate input-output combinations on undesirable transitions that can be modified using the edges in the wiring diagram of the network. Moreover, a method for estimating the number of changed transitions in the state space of the system as a result of an edge deletion in the wiring diagram is presented. The control methods of this paper were applied to a mutated cell-cycle model and to a p53-mdm2 model to identify potential control targets.

Original languageEnglish
Article number9
Pages (from-to)1-8
Number of pages8
JournalEurasip Journal on Bioinformatics and Systems Biology
Volume2015
Issue number1
DOIs
StatePublished - Dec 1 2015

Bibliographical note

Publisher Copyright:
© 2015, Murrugarra and Dimitrova.

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • Computer Science Applications
  • Computational Mathematics

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