Fig. 2From: DG-Affinity: predicting antigen–antibody affinity with language models from sequencesThe workflow of DG-Affinity. Among them, Ab represents antibodies and Ag represents antigens. The antibody and antigen sequences are respectively fed into the corresponding embedding extractors, and three features are obtained: Ab features, Ag features, and Ab-ag features. Then, these three features are concatenated into the MLP to predict binding affinity valuesBack to article page