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Article

GraphMHC: neoantigen prediction model applying the graph neural network to molecular structure

2023-08-27

Abstract excerpt

Neoantigens are biomarkers that can predict the prognosis associated with immune checkpoint inhibition by estimating the binding potential of candidate peptides to somatic mutation and major histocompatibility complex (MHC) proteins. Although deep neural networks have been primarily used for these prediction models, it is difficult to consider the models reported thus far as accurately representing the interaction...

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Literature Corpus work
d55a6095-f91d-5417-8879-45ea66271f2c
DOI
10.1101/2023.08.25.554848
Open publication

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GraphMHC: neoantigen prediction model applying the graph neural network to molecular structureDOI 10.1101/2023.08.25.554848
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