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使用基于AI/ML的工具发现新兴病原体的潜在毒性因素:Emergomyces africanus中的一个案例研究

Peter F Farag1, Karema S Abdel-Monem2, Hibah M Albasri3

  • 1Department of Microbiology, Faculty of Science, Ain Shams University, Cairo, Egypt.

Frontiers in cellular and infection microbiology
|December 18, 2025
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 工具可以预测新出现的病原体的毒性因素,如Emergomyces Africanus. 一种类似细胞酶的蛋白质表现出强烈的与MHC-II的结合,这表明有可能发现新的毒性基因.

关键词:
人工智能工具 人工智能工具这就是Emergomyces.新兴的病原体新兴的病原体病原性是一种病原性.毒性因素是毒性的因素.

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