Researchers developed AiCE, an innovative AI approach that integrates structural and evolutionary constraints into protein engineering models. This method enables accelerated and efficient protein evolution without training specialized AI architectures. The advance could revolutionize computational protein design and expedite discovery of therapeutics and industrial enzymes by optimizing sequence and structure relationships.