  We model the transcription factor based regulation network of yeast using a
content-based network model that mimicks the recognition of binding motifs on
the regulatory regions of the genes. We are thereby able to faithfully
reproduce many of the topological features of the gene regulatory network of
yeast once the parameters of the yeast genome, in particular the distribution
of information coded by the "binding sequences" within the promoter regions is
provided as input. The length distribution for the promoter regions is fixed by
comparing the k-core analysis of the model network with that of yeast. Our
results strongly point to the possibility that the observed topological
features are generic to networks formed via sequence-matching between random
strings obeying certain length distributions.
