DMCA
R (2006) Methods of robustness analysis for boolean models of gene control networks
| Venue: | IET Systems Biology |
| Citations: | 47 - 17 self |
BibTeX
@ARTICLE{Chaves_r(2006),
author = {Madalena Chaves and Eduardo D. Sontag and Réka Albert},
title = {R (2006) Methods of robustness analysis for boolean models of gene control networks},
journal = {IET Systems Biology},
year = {},
pages = {154--167}
}
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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 synchronization among the various regulatory processes. In this paper, we discuss and compare two possible methods of adapting qualitative models to incorporate the continuous-time character of regulatory networks. The first method consists of introducing asynchronous updates in the Boolean model. In the second method, we adopt the approach introduced by L. Glass to obtain a set of piecewise linear differential equations which continuously describe the states of each gene or protein in the network. We apply both methods to a particular example: a Boolean model of the segment polarity gene network of Drosophila melanogaster. We analyze the dynamics of the model, and provide a theoretical characterization of the model’s gene pattern prediction as a function of the timescales of the various processes. 1
Keyphrases
boolean model robustness analysis gene control network genetic regulatory network second method possible state segment polarity gene network essential qualitative description theoretical characterization regulatory network model gene pattern prediction first method continuous-time character possible method various process drosophila melanogaster piecewise linear differential equation qualitative model asynchronous update high level various regulatory process discrete approach particular example
