Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning
Description
The application of machine learning (ML) models to optimize antibody affinity to an antigen is gaining prominence. Unfortunately, the small and biased nature of the publicly available antibody-antigen interaction datasets makes it challenging to
