Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment

Machine learning assessment of zoonotic potential in avian influenza viruses using PB2 segment

Abstract Background Influenza A virus (IAV) is a major global health threat, causing seasonal epidemics and occasional pandemics. Particularly, Influenza A viruses from avian species pose significant zoonotic threats, with PB2 adaptation serving as a critical first step in cross-species transmission...

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Bibliographic Details
Main Authors: Sangwook Kim, Min-Ah Kim, Bitgoeul Kim, Jisu Lee, Se-Kyung Jung, Jonghong Kim, Ho-Young Chung, Chung-Young Lee, Sungmoon Jeong
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Genomics
Subjects:
Influenza A virus
Avian influenza virus
PB2
Artificial intelligence
Machine learning
SHAP
Online Access:https://doi.org/10.1186/s12864-025-11589-8
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https://doi.org/10.1186/s12864-025-11589-8

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