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

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.