Lytras, Spyros and Lamb, Kieran D. and Ito, Jumpei and Grove, Joe and Yuan, Ke and Sato, Kei and Hughes, Joseph and Robertson, David L. (2025) Pathogen genomic surveillance and the AI revolution. Journal of Virology, 99 (2): e0160124. ISSN 0022-538X

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Abstract

The unprecedented sequencing efforts during the COVID-19 pandemic paved the way for genomic surveillance to become a powerful tool for monitoring the evolution of circulating viruses. Herein, we discuss how a state-of-the-art artificial intelligence approach called protein language models (pLMs) can be used for effectively analyzing pathogen genomic data. We highlight examples of pLMs applied to predicting viral properties and evolution and lay out a framework for integrating pLMs into genomic surveillance pipelines.

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