A team of researchers has developed a method that could transform the field of protein engineering. The new approach, called AI-informed Constraints for protein Engineering (AiCE), enables rapid and efficient protein evolution by integrating structural and evolutionary constraints into a generic inverse folding model—without the need to train specialized artificial intelligence (AI) models.
AI-powered strategy streamlines protein engineering by integrating structural and evolutionary constraints
