In the rapidly evolving world of biotechnology, the ability to engineer proteins with enhanced stability is a critical challenge. Computational methods that can accurately predict how amino acid mutations will impact a protein’s thermodynamic stability could revolutionize the protein engineering process. Enter Stability Oracle, a new deep learning framework that outperforms state-of-the-art methods in predicting thermodynamically stabilizing protein mutations
