The three-dimensional shape of a protein can be used to resolve deep, ancient evolutionary relationships in the tree of life, according to a new study. It is the first time researchers use data from protein shapes and combine it with data from genomic sequences to improve the reliability of evolutionary trees, a critical resource used by the scientific community for understanding the history of life, monitor the spread of pathogens or create new treatments for disease. Crucially, the approach works even with the predicted structures of proteins that have never been experimentally determined. The findings open the door to using the massive amount of structural data being generated by tools like AlphaFold 2 and help open new windows into the ancient history of life on Earth.