Expanding the biotechnological scope of metabolic sensors through computation-aided designs
Enrico Orsi, Helena Schulz-Mirbach, Charles A. R. Cotton, Ari Satanowski, Henrik M. Petri, Susanne L. Arnold, Natalia Grabarczyk, Rutger Verbakel, Karsten S. Jensen, Stefano Donati, Nicole Paczia, Timo Glatter, Andreas M. Küffner, Tanguy Chotel, Farah Schillmüller, , Pablo I. Nikel
This paper presents a computational workflow for designing and testing E. coli metabolic sensors that detect glyoxylate and glycolate across a wide concentration range, with applications in bioengineering and environmental monitoring.
bioRxiv · Aug 23, 2024 · PreprintSynthetic Biology