TY - JOUR T1 - Optimization for Predictive Gene Circuit Design Automation JF - bioRxiv DO - 10.1101/2022.06.21.497000 SP - 2022.06.21.497000 AU - Frederick Starkey AU - Filippo Menolascina Y1 - 2022/01/01 UR - http://biorxiv.org/content/early/2022/06/21/2022.06.21.497000.abstract N2 - Synthetic Biology aims to rationally engineer biological systems. Current methods often employ an initial human designed circuit topology and utilise iterative approaches, e.g. directed evolution, to fine-tune part function. This approach can be extremely time consuming and resource intensive whilst often reaching sub-optimal solutions. A design workflow in which circuits and parts are designed in silico can overcome such limitations. Here we describe a method to automatically design synthetic gene circuits with user-specified dynamics; unlike some previous contributions our algorithm is able to design circuits with analog, not just digital behaviours. We demonstrate the capabilities of our approach benchmarking it on a number of different gene circuits design tasks. We review and compare the performance of our method against state of the art and outline future opportunities for development. Finally, to foster adoption, we make our algorithm available through a web app.Competing Interest StatementThe authors have declared no competing interest. ER -