通过光反应片段药理孔绘制蛋白质结合部位的地图
Péter Ábrányi-Balogh1,2,3, Dávid Bajusz1,2, Zoltán Orgován1,2
1Medicinal Chemistry Research Group, HUN-REN Research Centre for Natural Sciences, Budapest, Hungary.
Communications chemistry
|July 31, 2024
概括
这项研究引入了一种新的碎片选方法,使用光亲和标签和LC-MS检测. 这种方法提高了对具有挑战性的蛋白质标的命中率,改善了药物发现工作.
科学领域:
- 生物化学 生物化学
- 化学生物学 化学生物学
- 药物发现 药物发现 药物发现
背景情况:
- 碎片查对于识别药物线索至关重要,但碎片亲和力较弱需要敏感的测试.
- 现有的方法面临着难以实现的蛋白质标和有限的结合部位探索的挑战.
研究的目的:
- 开发一种增强的碎片选策略,利用光亲和标签和LC-MS检测.
- 为了提高对挑战性蛋白质标的命中率和结合位点识别.
主要方法:
- 设计和合成了100个被diazirine标记的碎片.
- 与基准和治疗相关目标 (BRD4,KRas G12D,STAT5B) 相比,选碎片.
- 采用基于LC-MS的检测与目标结合的光催化剂来提高灵敏度.
主要成果:
- 发现的碎片与所有测试的蛋白质标相匹配.
- 通过酶消化,结构研究和建模,确定了碎片结合点.
- 在传统的光亲和断片查中表现出优越的性能.
结论:
- 开发的选协议提供了更好的绑定站点的探索和更高的困难目标的命中率.
- 这种方法代表了基于片段的药物发现的重大进步.
- 能够有效地确定具有挑战性的治疗目标的起点.
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