代谢相关的蛋白质网络构建和宿主导的抗流感药物重新定位
Hao Tang1, Feng Jiang1, Zhi Zhang1
1Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Shizishan Street 1, Wuhan, 430070 Hubei, China.
Briefings in bioinformatics
|May 2, 2025
概括
这项研究引入了一种新的工作流程,通过分析病毒诱导的蛋白质网络来找到宿主导的抗病毒药物. 它成功地识别和验证了像利西诺普利尔这样的抗流感A病毒 (IAV) 的药物.
科学领域:
- 病毒学 病毒学
- 系统生物学 系统生物学
- 药物发现 药物发现 药物发现
背景情况:
- 病毒耐药性需要新的抗病毒策略.
- 病毒与宿主相互作用诱导代谢重编程,提供治疗点.
- 宿主导抗病毒药物利用宿主途径对抗病毒感染.
研究的目的:
- 开发一种工作流程,使用病毒诱导的蛋白质网络重新定位宿主导向的抗病毒药物.
- 为了确定抗病毒疗法的潜在宿主目标.
- 为了验证针对A型流感病毒 (IAV) 确定的药物.
主要方法:
- 构建病毒诱导的蛋白质网络,整合宿主病毒相互作用和代谢流.
- 利用双种基因组规模的代谢模型来识别代谢变化.
- 基于网络枢纽节点对抗IAV活性进行选的批准药物.
主要成果:
- 在八个特定阶段的网络中确定了众多枢纽节点作为潜在的主机目标.
- 发现了50种已批准的药物,具有潜在的抗IAV活性.
- 在体外抗IAV疗效方面验证了利西诺普利尔,萨克萨格利普丁和格利克拉齐德.
结论:
- 提出的工作流允许快速识别和重新使用宿主定向的抗病毒药物.
- 病毒诱导的蛋白质网络是有效的发现新型抗病毒药物候选人.
- 针对宿主途径提供了一种有希望的方法来克服病毒耐药性.
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