MHC epitope prediction, Deep learning, Recurrent neural networksBackgroundImmunotherapy is an emerging approach in cancer treatment that activates the host immune system to destroy cancer cells expressing unique peptide signatures (neoepitopes). Administrations of cancer-specific neoepitopes in the form of ...
A basic approach for immunogenicity prediction is based on the premise that effective neoepitope should bind with the Major Histocompatibility Complex (MHC) with high affinity. Results In this study, we developed MHCSeqNet, an open-source deep learning model, which not only outperforms state-of-...