可光切割的双功能分子的固相并行合成使得有效的表型蛋白质降解剂的发现成为可能
Baoli Ding1, Jiawen Hu1, Rongtian Zhang1
1Institute of Pharmacology & Toxicology, Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, P.R. China.
Angewandte Chemie (International ed. in English)
|May 28, 2025
概括
这项研究引入了用于表型蛋白降解剂发现 (PPDD) 的综合平台,克服了图书馆合成和选方面的挑战. 该平台能够识别出一种新的GSPT1降解剂,从而提升PPDD的功能.
科学领域:
- 化学生物学 化学生物学
- 药物发现 药物发现 药物发现
- 蛋白质组学是指蛋白质组学.
背景情况:
- 表型查对于发现蛋白质降解剂,特别是对于具有挑战性的标来说是有价值的.
- 目前的表型蛋白降解剂发现 (PPDD) 方法在图书馆合成和表型识别方面遇到了障碍.
研究的目的:
- 为高效的PPDD开发一个综合平台.
- 为了克服合成复杂性和改善直接对生物学 (D2B) 查.
主要方法:
- 集成平台结合了固相并行合成和D2B选.
- 利用可剪切的链接器和各种合成策略来生成图书馆.
- 选了130个大脑中招募分子.
主要成果:
- 快速生成化学多样化的,现成的双功能分子图书馆.
- 确定了几个有前途的蛋白质降解依赖性命中.
- 验证化合物12-60作为具有显著细胞活性的新型GSPT1降解剂.
结论:
- 综合平台简化了PPDD,提高了效率和实用性.
- 这套工具加速了未来的药物发现活动,并扩大了可向蛋白质的范围.
- 证明了一种成功的方法来识别新的蛋白质降解剂.
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