Reza Haydarlou

PIPENN-EMB improves protein interface prediction using protein embeddings, achieving better performance and generalization to remote homologs.

The paper introduces an ensemble of deep learning models (PIPENNs) for predicting protein interface residues, showing improved performance over existing methods across different interaction types.

The paper introduces SeRenDIP-CE, a sequence-based method for predicting conformational epitopes, achieving better performance than existing predictors on an antibody-antigen structure.