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Predicting the antigenic evolution of SARS-COV-2 with deep learning

13 Jun 2023

Abstract excerpt

The relentless evolution of SARS-CoV-2 poses a significant threat to public health, as it adapts to immune pressure from vaccines and natural infections. Gaining insights into potential antigenic changes is critical but challenging due to the vast sequence space. Here, we introduce the Machine Learning-guided Antigenic Evolution Prediction (MLAEP), which combines structure modeling, multi-task learning, and...

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PMID: 37311849
DOI: 10.1038/s41467-023-39199-6

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