会议论文

Zhao, WZ

英文

Lecture Notes in Computer Science

0302-9743

2024

14955

398-409

20th International Symposium on Bioinformatics Research and Applications (ISBRA)

Lecture Notes in Bioinformatics

JUL 19-21, 2024

Kunming, PEOPLES R CHINA

[Lv, Xing;Deng, Jie;Zhao, Weizhong;Tu, Xinhui;Jiang, Xingpeng] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.^[Lv, Xing;Deng, Jie;Zhao, Weizhong;Tu, Xinhui;Jiang, Xingpeng] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.^[Zhao, Weizhong;Tu, Xinhui;Jiang, Xingpeng] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netw, Wuhan 430079, Hubei, Peoples R China.

Cai, Z Peng, W Skums, P

152 BEACH ROAD, #21-01/04 GATEWAY EAST, SINGAPORE, 189721, SINGAPORE

SPRINGER-VERLAG SINGAPORE PTE LTD

978-981-97-5130-3; 978-981-97-5131-0

10.1007/978-981-97-5131-0_34

National Natural Science Foundation of China [62372205, 61932008]; Fundamental Research Funds for Central Universities [KJ02502022-0450]; National High-end Foreign Expert Cooperation Project [G2022158003L]; Natural Science Foundation of Hubei Province of China [2022CFB289]

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Bacteria with resisting antibacterial biocide and metal agents have become a commonly global concern for public health and environment protection. Since the resistance of bacteria is mainly attributed to expression of certain genes, accurately annotating the antibacterial biocide and metal resistance genes is the fundamental step to address or mitigate the global concern. However, due to the complex biological mechanisms of bacterial resistance for antibacterial biocides and metals, existing prediction methods face challenges in accurately categorizing antibacterial biocide and metal resistanc...