Automated design of artificial biological functions based on fuzzy logic

Synthetic biology is a new field of biotechnology which aims to apply engineering design processes for the development of new artificial biological functions. In this domain, the development of automated design tools is a big challenge. This paper deals with a new approach based on the description of elementary biological mechanisms through fuzzy logic, which is an intermediate description level between logical approach in one hand and analytic description in the other hand. As a consequence, it is a good tradeoff between model accuracy and simulation time. Execution time of the algorithm is improved in order to be integrated in complex optimization loops while keeping the computation time reasonable. A benchmark illustrating the efficiency of this implementation and its application on some examples are discussed.