Article

AI-enabled virtual immunopeptidomics links quantitative neoantigen presentation to immunogenicity

2026-05-10

Abstract excerpt

Effective anti-tumor T cell response depends on both neoantigen quality (non-selfness) and quantity (abundance). However, existing methods for neoantigen prioritization largely overlook peptide abundance because it is difficult to measure and model. To bridge this gap, we developed epiVIP, a deep learning framework that predicts the abundance of individual HLA-I peptides using widely available (sc)RNA-seq data. Tr...

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Literature Corpus work: 6211da05-4606-5d39-ba13-65151d80c8d4
DOI: 10.64898/2026.05.05.722287

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