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ImmunoStruct: a multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical properties

2025-05-21

Abstract excerpt

<title>Abstract</title> <p> Epitope-based vaccines are promising therapeutic modalities for infectious diseases and cancer, but identifying immunogenic epitopes is challenging. The vast majority of prediction methods only use amino acid sequence information, and do not incorporate wide-scale structure data and biochemical properties across each peptide-MHC. We present ImmunoStruct, a deep-learning model that int...

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Literature Corpus work
4c69a31b-e72d-5d38-a70c-c7972758fb78
DOI
10.21203/rs.3.rs-6606336/v1
Open publication

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ImmunoStruct: a multimodal neural network framework for immunogenicity prediction from peptide-MHC sequence, structure, and biochemical propertiesDOI 10.21203/rs.3.rs-6606336/v1
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