AI-powered strategy streamlines protein engineering by integrating structural and evolutionary constraints

A squad of researchers has developed a method that could alteration the tract of macromolecule engineering. The caller approach, called AI-informed Constraints for macromolecule Engineering (AiCE), enables accelerated and businesslike macromolecule improvement by integrating structural and evolutionary constraints into a generic inverse folding model—without the request to bid specialized artificial quality (AI) models.