抗生素耐药性危机:从细菌生物探测到人工智能
I C Cunha-Ferreira1,2, C S Vizzotto2,3, J Peixoto1,2
1Laboratory of Enzymology, Department of Cellular Biology, University of Brasília (UnB), Brasília, Brazil.
Environmental microbiology reports
|December 22, 2025
概括
抗菌素耐药性 (AMR) 威胁着现代医学. 本综述探讨了包括人工智能和替代疗法在内的创新策略,以打击耐药细菌并振兴抗生素开发.
科学领域:
- 微生物学 微生物学
- 药理学 药理学是指药理学的学科.
- 生物信息学是一种生物信息学.
背景情况:
- 抗生素改变了20世纪的医学,但由于抗菌素耐药性 (AMR) 的上升而面临危机.
- 滥用,过度使用和环境因素加快了AMR,降低了现有治疗方法的有效性.
- 抗生素开发管道的下降迫切需要创新.
研究的目的:
- 审查抗生素的历史和细菌耐药性的机制.
- 检查抗生素开发的科学和经济障碍.
- 探索新兴的策略和替代疗法,以对抗AMR.
主要方法:
- 对抗生素耐药性的历史数据和当前研究进行审查.
- 微生物生物勘探,基因组挖掘和高通量测序的分析.
- 在药物发现中探索人工智能 (AI) 和机器学习 (ML) 应用.
- 评估替代治疗策略,如菌体治疗和抗菌素.
主要成果:
- 确定了阻碍制药公司对新抗生素投资的关键科学和经济障碍.
- 突出了微生物生物勘探和omics技术的进展,以发现新型抗微生物药物.
- 强调AI/ML在加速抗微生物药物发现和抗药性基因识别方面的潜力.
- 详细介绍了传统抗生素以外的各种替代治疗方法.
结论:
- 综合新发现方法和替代疗法的跨学科方法至关重要.
- 振兴抗微生物管道需要解决发展障碍和促进创新.
- 需要采取紧急行动,以应对抗生素耐药性日益增长的全球威胁.
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