DeepSeqPanII

DeepSeqPanII is a sequence-based model designed to predict the binding affinity of peptides to MHC II molecules using a recurrent neural network with an attention mechanism. It includes implementation code and datasets for training and evaluation, making it a useful tool for researchers in computational biology and drug discovery.