Inverse folding of protein complexes with a structure-informed language model enables unsupervised antibody evolution
Description
Large language models trained on sequence information alone are capable of learning high level principles of protein design. However, beyond sequence, the three-dimensional structures of proteins determine their specific function, activity, and