Antibody Design

INFUSSE is a deep learning framework that combines sequence embeddings with graph-based representations of protein structures to predict single-residue properties within proteins.

ANTIPASTI is a Python Deep Learning method that predicts the binding affinity of antibodies from their three-dimensional structure.