January 20, 2022
In an exciting new paper, Humphreys et al. describe the use of deep-learning-based algorithms to predict structures of not only single proteins, but assemblies of proteins. The team used rapid RoseTTAFold combined with the more accurate AlphaFold to build structural models for 106 previously unidentified protein assemblies and 806 complexes that had not been structurally characterized. The complexes have up to five subunits and are involved in numerous critical roles in cell biology.