A cell is composed of many intertwined regulatory and signaling networks.
Proteins, RNA, and DNA act upon one another to control cellular processes and
responses to changes in the environment. In this module, we study a model of
a synthetic regulatory circuit, the Repressilator, which consists
of a loop of three proteins, each of which represses the transcription of the
next (akin to the rock-paper-scissors game). As in the
module, we compare stochastic and deterministic representations of the
Repressilator dynamics, here in a much more complex system, where
good software design allows seamless conversion between two very different
simulation strategies. We also study the difference between shot noise
and telegraph noise.
- Michael Elowitz and Stan Leibler,
"A synthetic oscillatory network of transcriptional regulators",
Nature 403, 335-338, 2000.
James P. Sethna,
Christopher R. Myers.
Last modified: August 24, 2006
Statistical Mechanics: Entropy, Order Parameters, and Complexity,
now available at
Oxford University Press