… the joint epitope-paratope prediction task in detail, identify an inherent asymmetry between
the two tasks, and propose epitope-paratope message passing (… meaningful predictions on …

… (3) For the joint paratope-epitope prediction, our method produces the best performance in …
ParagraphâC”antibody paratope prediction using graph neural networks with minimal feature …

… The binding sites in an antibody-antigen interaction are known as the paratope and
epitope, respectively, and the prediction of these regions is key to vaccine and synthetic …

… to map and predict the paratope, epitope, and paratope–epitope interactions [67… neural
message-passing architectures that are specifically designed for paratope and epitope prediction …

Motivation Identifying the binding sites of antibodies is essential for developing vaccines and
synthetic antibodies. In this article, we investigate the optimal representation for predicting …

… design is how to predict the 3D paratope-epitope complex (ie, … Specifically, we propose
a hierarchical message passing … learned by a recurrent neural network. HSRN predicts the …

… In this work, we propose a sequence-based method for antibody paratope prediction
utilizing both local-global information and partner features by combing Convolutional Neural …

… site prediction methods and find that their performances are not satisfactory as expected for
epitope prediction… protein language models and graph neural networks. WALLE demonstrate …

… complementary tasks: predicting the paratope-epitope complex for a … Specifically, we adopt
a hierarchical message passing … We will extend our experiments to design all six CDRs jointly…

… Next, we used a pretrained language model to generate the neural representations of the
predicted paratope residues and used them to measure the similarity between antibody pairs. …