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Article

Predicting the trend of SARS-CoV-2 mutation frequencies using historical data.

Bioinformatics (Oxford, England) - 2 Oct 2025

Zhou Xinyu, Yan Yi, Hu Kevin, Tang Haixu, Wang Yijie, Wang Lu, Zhang Chi, Cao Sha

Abstract excerpt

MOTIVATION: As the SARS-CoV-2 virus rapidly evolves, predicting the trajectory of viral mutations has become a critical yet complex task. A deep understanding of future mutation patterns, in particular the mutations that will prevail in the near future, is vital in steering diagnostics, therapeutics, and vaccine strategies for disease control. RESULTS: In this study, we developed a model to forecast future...

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PMID: 40973044
DOI: 10.1093/bioinformatics/btaf508
PMCID: PMC12502910

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