摘要：AbstractBiological counterparts of differential operators are not only likely to exist in natural systems but also desirable to realize as modules in synthetic biology. Therefore, we present a genetic regulatory network which approximates the differential operator. For the in silico design, we use a modeling framework which takes into account the limitations imposed by finite pools of resources; we synthesize the differentiator module by combining genetic regulatory parts which realize basic input/output functions such as a gain, integrator and signal difference. The resulting two-gene-network approximates the transfer function of a differential operator with additional low-pass filter. The functionality of this small network, as well as its robustness towards changes in the cellular environment, is investigated numerically.
