File:Applications of combinatorial gene circuit optimization strategies.svg

English: One main aim of synthetic biology is development of microbial strains able to optimize and maximize yield and productivity of target chemicals, e.g. biofuels, biomaterials and, medicines, or multi-subunit cellular complexes that can be facilitated by applying combinatorial optimization approaches. Another interesting goal of synthetic biology is engineering sophisticated GRNs to expose the genetic architecture of complex traits and diseases. Smartly designed combinatorial libraries can generate huge number of GRN variants, where the optimal expression level of regulators of networks can be monitored. To overcome limitations regarding the transferability and expression of all involved systems in one chassis, a promising alternative solution is to focus on parallel optimization of metabolic pathways divided among different cells in synthetic microbial consortia.^[1]