VFDB 2025:用于探索抗病毒性化合物的综合资源
Siyu Zhou1, Bo Liu1, Dandan Zheng1
1NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, P.R. China.
Nucleic acids research
|October 29, 2024
概括
抗病毒性化合物向细菌病毒性因素,提供了一种新的方法来对抗多药性耐药性. 病毒性因子数据库 (VFDB) 现在收集了这些化合物的大量数据,以帮助药物开发.
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:
- 细菌的多药耐药性需要超越传统抗生素的新疗法策略.
- 抗毒性疗法通过向毒性因子 (VFs),降低抗性选择压力来解除病原体的武装.
- 尽管有众多的候选人,但由于病变发生的复杂性,没有任何抗病毒小分子得到临床批准.
研究的目的:
- 建立一个针对抗病毒性化合物的全面参考资源.
- 为了促进药物设计,重新定位和针对抗菌疗法的标选择.
- 整合VF数据与复合信息进行跨学科研究.
主要方法:
- 系统的文献挖掘,收集关于抗病毒化合物的数据.
- 将收集的化合物数据与现有的病毒性因素数据库 (VFDB) 集成.
- 交叉链接VF知识与复合细节,包括分类,结构,目标和机制.
主要成果:
- 现在,VFDB包含了17个超级类的902种抗病毒化合物.
- 数据来源于262项全球研究.
- 该数据库提供了有关细菌VF和相关化合物的交叉链接信息.
结论:
- 增强的VFDB是开发创新抗菌疗法的关键资源.
- 它弥合了化学和微生物学之间的差距,为有效的抗病毒药物发现提供了桥梁.
- 数据库支持对抗细菌感染和抗生素耐药性的斗争.
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