De novo engineering of protein interactions: Retrospective and current advances

New deep learning-based methods for modeling and generation of protein structures have opened a new chapter in the field of protein design, transforming many previously unattainable challenges into routine tasks. Protein-binder design, an important and challenging task in protein engineering, has also experienced significant progress, promising to provide solutions to many therapeutic and bioengineering problems. Novel protein folds of tailored surface complementarity to their target can be gene