Molecular factories promise to drastically advance the efficiency of multi-step catalysis by optimizing system composition and set-up (e.g. spatial/compartmental, temporal). However, already elucidating an optimal composition of a molecular factory is in no way trivial. Rational, predictive approaches are possible but require intimate knowledge on the dynamic properties of the system and thus remain very laborious.
In this project we will use operons, a central organizational unit in bacteria, as a strategy to efficiently explore the design space of molecular factories.