期刊论文

Zhao, Weizhong;Jiang, XP;Zhao, WZ

英文

BIOINFORMATICS

1367-4803

2024

40

4

10.1093/bioinformatics/btae180

This work was partially supported by the National Natural Science Foundation of China [62372205, 61932008]; the Fundamental Research Funds for Central Universities [KJ02502022-0450]; the National High-end Foreign Expert Cooperation Project [G2022158003L]; and Natural Science Foundation of Hubei Province of China [2022CFB289].

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Abstract Motivation The crisis of antibiotic resistance, which causes antibiotics used to treat bacterial infections to become less effective, has emerged as one of the foremost challenges to public health. Identifying the properties of antibiotic resistance genes (ARGs) is an essential way to mitigate this issue. Although numerous methods have been proposed for this task, most of these approaches concentrate solely on predicting antibiotic class, disregarding other important properties of ARGs. In addition, existing methods for simultaneously predicting multiple properties of ARGs fail to...