DSSS - Need for Speed: Accelerating Biocatalytic Innovation through Data-Driven and Cell-Free Approaches

The development of innovative bioprocessing technologies is essential for improving the efficiency and sustainability of biocatalysis. Our research integrates experimental and computational strategies to accelerate biocatalyst discovery, reaction engineering, and bioprocess design. We apply Bayesian optimization and mechanistic modeling to systematically optimize the performance of multi-enzyme cascade reactions. These computational frameworks allow for the rapid identification of optimal reaction conditions, improving both yield and productivity. Additionally, we explore the potential of cell-free protein synthesis (CFPS) as a platform for accelerated enzyme screening and development. CFPS enables the rapid production and testing of enzymes without the constraints of cellular viability, significantly reducing the time and complexity associated with traditional cell-based expression systems. This facilitates the discovery of new biocatalysts and supports the development of more efficient enzymatic processes. With these approaches, we aim to improve fundamental understanding of enzymes and biocatalyst development as well as to broaden the industrial applicability of biocatalysis.