395-ImmunoStruct: Multimodal for Immunogenicity Prediction
The researchers introduced ImmunoStruct, a novel deep learning model designed to accurately predict the immunogenicity of peptide–MHC complexes for vaccine development. Unlike traditional tools that rely solely on amino acid sequences, this architecture integrates multimodal data, including 3D structural insights from AlphaFold2 and specific biochemical properties. To address the complexities of cancer neoantigens, the model employs a contrastive learning strategy that differentiates between mutant and wild-type peptides. Results demonstrate that ImmunoStruct outperforms existing methods in…
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