Advancing biologically informed computational methods for deciphering protein function

Understanding how proteins work is key to uncovering how our bodies function, fight disease, and respond to treatments. However, testing each protein in the lab is slow and expensive. This thesis develops new computer models that use artificial intelligence to predict what proteins do and how they do it—right down to the tiny parts of a molecule that make reactions happen. By combining biology with advanced machine learning, these tools make it faster and easier to study proteins, helping scientists design better medicines, enzymes, and treatments for complex diseases.