AI Designs RNA Switches for Cellular Logic

Researchers at TU Darmstadt have developed synthetic RNA-based genetic switches that mimic computer logic ^[1][2]. Using deep learning and Bayesian optimization, the team successfully engineered riboswitches to process multiple biochemical signals simultaneously ^[1]. This allows living cells to perform complex logical functions, including Boolean NAND gates ^[1][2]. These "smart" cells can now make autonomous decisions based on their molecular environment ^[2][3]. By treating genetic pathways as digital circuits, the team bridges the gap between computing and molecular biology ^[1][3]. This AI-driven approach could eventually lead to highly targeted medical treatments and advanced synthetic systems ^[1].