Article

Structure-aware deep learning predicts influenza antigenicity and guides vaccine strain recommendation

2026-08-07

Abstract excerpt

The continuous accumulation of genetic mutations in influenza A viruses (IAVs) drives antigenic drift, necessitating precise antigenic prediction for optimal vaccine strain selection. While sequence-based methods have advanced antigenic surveillance, they neglect the three-dimensional structural context that fundamentally dictates viral antigenicity. Here, we introduce Vir3D, which leverages ESMFold-derived struct...

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Identifiers and source

Literature Corpus work: 85483275-5bb7-5845-8c58-9294defa1179
DOI: 10.64898/2026.08.02.742372

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