Inspired by AlphaFold, a groundbreaking tool for predicting protein structure, researchers led by Regina Barzilay and Richard Young developed ProtGPS, a machine learning model that predicts protein location based on the sequence of its amino acid components. In a Science study, the team demonstrated that ProtGPS can also predict how disease-related mutations change protein location as well as generate new protein designs targeted to a desired location.