Methods of robustness analysis for Boolean models of gene control networks

M. Chaves, E. D. Sontag, R. Albert

Research output: Contribution to journalArticle

97 Citations (Scopus)

Abstract

As a discrete approach to genetic regulatory networks, Boolean models provide an essential qualitative description of the structure of interactions among genes and proteins. Boolean models generally assume only two possible states (expressed or not expressed) for each gene or protein in the network, as well as a high level of synchronisation among the various regulatory processes. Two possible methods of adapting qualitative models to incorporate the continuous-time character of regulatory networks, are discussed and compared. The first method consists of introducing asynchronous updates in the Boolean model. In the second method, the approach introduced by Glass is adopted to obtain a set of piecewise linear differential equations that continuously describe the states of each gene or protein in the network. Both methods are applied to a Boolean model of the segment polarity gene network of Drosophila melanogaster. The dynamics of the model is analysed, and a theoretical characterisation of the model's gene pattern prediction is provided as a function of the timescales of the various processes. 2006

Original languageEnglish (US)
Pages (from-to)154-167
Number of pages14
JournalIEE Proceedings: Systems Biology
Volume153
Issue number4
DOIs
StatePublished - Jul 1 2006

Fingerprint

Boolean Model
Robustness Analysis
Gene Regulatory Networks
Genes
Gene
Protein
Genetic Regulatory Networks
Proteins
Gene Networks
Regulatory Networks
Drosophilidae
Polarity
Drosophila melanogaster
Linear differential equation
Piecewise Linear
Glass
Continuous Time
Time Scales
Theoretical Models
Synchronization

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Molecular Medicine
  • Modeling and Simulation
  • Molecular Biology
  • Genetics
  • Cell Biology

Cite this

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Methods of robustness analysis for Boolean models of gene control networks. / Chaves, M.; Sontag, E. D.; Albert, R.

In: IEE Proceedings: Systems Biology, Vol. 153, No. 4, 01.07.2006, p. 154-167.

Research output: Contribution to journalArticle

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