Antibody Antigen

Antibody-antigen interactions are crucial for immune responses and therapeutic antibody development, with research focusing on accurately predicting and designing these interactions. Current efforts leverage machine learning, including geometric deep learning and diffusion models, to improve the prediction of binding affinity and the generation of novel antibody structures with desired binding properties. These advancements are significantly impacting drug discovery by accelerating the identification of effective therapeutic antibodies and improving our understanding of immune system function.