Using deep learning diffusion models (RFdiffusion, ProteinMPNN) to engineer enzymes with ultra-high melting temperatures suited for automotive engine bays and cabins.
Introducing artificial salt bridges and optimized core hydrophobic packing elevates the unfolding transition midpoint (Tm) above 95°C, ensuring survival during hot summer parking.