Fig. 1
From: MHCSeqNet: a deep neural network model for universal MHC binding prediction
An overview of the MHCSeqNet’s architecture. The model is comprised of three main parts: the peptide sequence processing part (a & c), the MHC processing part (b & d), and the main processing part which accepts the processed information from the previous parts (e). The entire model is a single deep learning model which can be trained altogether. f Our models output binding probability for the given peptide and MHC allele on the scale of 0 to 1, with 1 indicating likely ligand