2004/01/03 by Stuart Kauffman, Carsten Peterson, Björn Samuelsson +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #q-bio.MN #cond-mat.soft
paper · pdf · doi:10.1073/pnas.2036429100
published as Proc. Natl. Acad. Sci. USA 100 (2003) 14796-14799 · 23 pages, 5 figures
arxiv created 2004/01/03 · arxiv updated 2009/12/01
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.