开发新的策略来构建伪自然的宏观循环,用于无法治疗的目标
Han Wang1,2, Tongyu Bi1,2, Weibo Yang1,2
1State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China.
Accounts of chemical research
|September 15, 2025
概括
研究人员开发了一种模块化仿生策略,以创建伪自然的宏循环,以准无毒蛋白质. 这种方法使药物发现的多样化宏循环的可持续合成成为可能,解决了治疗复杂疾病的挑战.
科学领域:
- 药用化学 医学化学
- 有机合成 有机合成
- 药物发现 药物发现 药物发现
背景情况:
- 高达85%的与疾病相关的标蛋白是无法治疗的,阻碍了治疗干预.
- 宏环化合物,特别是分子,显示出调节这些目标的前景.
- 目前的宏环药物往往来源于天然产品,在合成和可用性方面存在挑战.
研究的目的:
- 开发创新的方法来构建伪自然的宏观循环.
- 创建一个多样化的伪自然宏观循环图书馆,用于调节不可抗药的目标.
- 突出一个模块化的仿生组装战略,用于快速的宏观循环生成.
主要方法:
- 将自然产品的生物合成逻辑分解成可编程的构建块.
- 开发新的反应来模仿天然的生物活性构件.
- 用易于获得的氨基酸衍生物取代复杂的形图案.
主要成果:
- 一个模块化的仿生策略能够快速生成多样化的伪自然宏观循环.
- 已证明的应用包括用于抗流感的宏环氧体,用于帕金森病的螺旋融合宏环体,以及针对蛋白质与蛋白质相互作用的宏环体,用于多药性耐药性.
- 结构多样化,多功能生物活性伪天然宏循环可以简洁和可持续地产生.
结论:
- 模块化仿生策略提供了一种可持续和高效的方法来合成伪自然的宏观循环.
- 这一策略具有显著的潜力,可以调节无法药物治疗的目标,并推动药物发现.
- 通过有机合成驱动的药物化学的持续努力可以为关键药物发现挑战提供实际解决方案.
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