Live demonstration: Automated design of artificial biological functions based on fuzzy logic

Currently, several levels of abstraction can be used to model targeted biological application and their associated assembly of elementary biological components (i.e.: BioBricks). The highest one uses the analogy between the behavior of biological mechanism and digital gates. The lowest one uses ordinary differential equations to get accurate and quantitative results. To bridge the gap between these two levels of abstraction, we developed models based on fuzzy logic. This live demonstration is divided in two parts: the first one will consist in the presentation of the algorithm we developed and its illustration on the modeling of different biological systems. The second one is focused on the integration of this algorithm in a complete design flow for synthetic biology. For that, we will present the automation tool that uses fuzzy logic models in order to pick out BioBricks from a database and choose the best assembly according to a given targeted biological function.