Programmed Cellular Self-Optimization to Tailor Antibiotic Delivery


Adam Arkin1, Murat Arcak and Caroline Ajo-Franklin2

This project will design, synthesize, apply and refine cell-based genetic control systems to ensure optimal output production in uncertain environments, effectively control modules that tune an input concentration signal to maximize an output concentration despite neither memory nor knowledge of the input-output map. The modules will also manage resource consumption by sensing and responding to the dynamic necessity of output production. To obtain global single-cell optimization instead of local optimization, this project will additionally utilize population-level control by encouraging those cells that are quicker to optimize locally and that simultaneously achieve a global optimum to outcompete cells that are slower to optimize or that find a local optimum.

1UC Berkeley, Bioengineering Department
2Lawrence Berkeley National Lab