This package implements RoseTTAFold, a deep learning model for accurate prediction of protein structures and protein-protein interactions. It uses a 3-track network architecture that integrates sequence, structure, and evolutionary information. The system requires downloading protein sequence databases (UniRef30, BFD), trained model weights, and third-party software to run inference for protein structure prediction tasks.