Recent research at MIT and Cambridge has illuminated how large language models (LLMs) trained on protein sequence data can predict structure and function, deepening our understanding of protein biology. These AI models enable the characterization of molecular interactions without relying on traditional, resource-intensive methods. This approach opens novel avenues for drug discovery, synthetic biology, and the interpretation of complex biological systems, representing a paradigm shift in protein research.