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Article

DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding prediction

2019-10-24

Abstract excerpt

Human leukocyte antigen (HLA) complex molecules play an essential role in immune interactions by presenting peptides on the cell surface to T cells. With significant progress in deep learning, a series of neural network based models have been proposed and demonstrated with their good performances for peptide-HLA class I binding prediction. However, there still lack effective binding prediction models for HLA class...

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Literature Corpus work
68ae8ba5-e689-5425-8f10-cd79aabcd48e
DOI
10.1101/817502
Open publication

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DeepSeqPanII: an interpretable recurrent neural network model with attention mechanism for peptide-HLA class II binding predictionDOI 10.1101/817502
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