Over the past two years, artificial intelligence has shown it can predict what many cellular components look like. For instance, the AlphaFold deep-learning tool developed by Google sister company DeepMind has decoded how nearly every amino acid sequence folds into defined shapes. With a grant of computing time from the U.S. Department of Energy's Advanced Scientific Computing Research (ASCR) Leadership Computing Challenge, a team led by Jeffrey Skolnick, Regents' Professor, Mary and Maisie Gibson Chair & GRA Eminent Scholar in Computational Systems Biology in the School of Biological Sciences, is extending that work to unfurl how those proteins interact and form complex, working structures in living systems. More details on this development can be found at the College of Sciences News Center here.