Random Boolean Network Models and the Yeast Transcriptional Network

Details Random Boolean Network Models and the Yeast Transcriptional Network Random Boolean Network Models and the Yeast Transcriptional Network

2004-01-03

arxiv.org/abs/q-bio/0401002v1

Proc. Natl. Acad. Sci. USA 100 (2003) 14796-14799

Biology

Quantitative Biology

Molecular Networks

23 pages, 5 figures

Scientific paper

10.1073/pnas.2036429100

The recently measured yeast transcriptional network is analyzed in terms of simplified Boolean network models, with the aim of determining feasible rule structures, given the requirement of stable solutions of the generated Boolean networks. We find that for ensembles of generated models, those with canalyzing Boolean rules are remarkably stable, whereas those with random Boolean rules are only marginally stable. Furthermore, substantial parts of the generated networks are frozen, in the sense that they reach the same state regardless of initial state. Thus, our ensemble approach suggests that the yeast network shows highly ordered dynamics.

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