Article

Reengineering the antigen optimization process for superior neoantigen vaccine design

2025-08-04

Abstract excerpt

Identifying effective neoantigen sequences is essential for enhancing anti-tumor immunity. However, the vast sequence space (>10 9 possible peptides) and limited accuracy of existing immunogenicity predictors hinder efficient vaccine design for patient-specific human leukocyte antigens (HLAs). We present AlphaVacc, a deep reinforcement learning framework that integrates Monte Carlo Tree Search with a Transformer-...

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Literature Corpus work: 4f3ab37b-8322-5fa9-aa3e-e402004b32b9
DOI: 10.1101/2025.08.03.668363

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