TY - JOUR
AU - Lytras, Spyros
AU - Lamb, Kieran D.
AU - Ito, Jumpei
AU - Grove, Joe
AU - Yuan, Ke
AU - Sato, Kei
AU - Hughes, Joseph
AU - Robertson, David L.
PY - 2025
DA - January
TI - Pathogen genomic surveillance and the AI revolution
JO - Journal of Virology
VL - 99
IS - 2
DO - https://doi.org/10.1128/jvi.01601-24
AB - 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.
PB - American Society for Microbiology
UR - https://eprints.gla.ac.uk/348054/
KW - Coronavirus (COVID-19)
KW - Digital health and technology
ER