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Article

DeepSeqPan, a novel deep convolutional neural network model for pan-specific class I HLA-peptide binding affinity prediction

2018-07-26

Abstract excerpt

Interactions between human leukocyte antigens (HLAs) and peptides play a critical role in the human immune system. Accurate computational prediction of HLA-binding peptides can be used for peptide drug discovery. Currently, the best prediction algorithms are neural network based pan-specific models, which take advantage of the large amount of data across HLA alleles. However, current pan-specific models are all ba...

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Literature Corpus work
41292f65-38b1-5940-a2fb-11efac33f574
DOI
10.1101/299412
Open publication

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DeepSeqPan, a novel deep convolutional neural network model for pan-specific class I HLA-peptide binding affinity predictionDOI 10.1101/299412
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