Computationally guided design of robust gene circuits

The inability to rationally design and construct circuits that robustly enable complex behaviors is perhaps the most fundamental challenge in synthetic biology. While systems modeling can aid this process and help reduce the space of design strategies, the unavailability and dynamic variability of kinetic parameters limits the utility of such models. Here, we present a general approach that employs an exhaustive enumeration of network architectures to suggest topologies that robustly enable a desired behavior.