Deep learning algorithm predicts structures of biomolecular assemblies

A new deep learning algorithm can predict the structure of proteins bound to a variety of other molecules such as drugs, fluorophores and metals. The work, which allowed researchers to design proteins to bind specific molecules, could be useful in fields such as enzymatic catalysis.