Evolving dynamical systems for temperature compensated clocks and developmental patterning
Eric Siggia, Rockefeller

Abstract:
Computational evolution can be used to derive dynamical models in biology, by selecting for systems that are amenable to continuous differential improvement. These ideas will be illustrated by a mechanism for temperature compensation in the circadian oscillator, that are are borne out by recent experiments in Drosophila. A second application shows how regulators can evolve while leaving their down stream target invariant.