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. A comprehensive risk assessment framework based on PB2 sequences is necessary, which should encompass detailed analyses of specific residues and mutations while maintaining sufficient generality for application to non-PB2 segments.

Results

In this study, we developed two complementary approaches: a regression-based model for accurately distinguishing among risk groups, and a SHAP-based risk assessment model for more meaningful risk analyses. For the regression-based risk models, we compa

SUBMITTER: Kim S 

PROVIDER: S-EPMC12020041 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature