通过基于深度对接,药模拟和分子动力学模拟的组合策略发现选择性ACAT2抗剂
Yanfeng Liu1,2,3, Feng Ding4, Liangying Deng1
1Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Journal of enzyme inhibition and medicinal chemistry
|September 24, 2024
概括
研究人员通过虚拟查工作流程确定了针对Acy-CoA:胆固醇乙烯转移酶2 (ACAT2) 的新型抑制剂. 这些化合物有望通过选择性抑制ACAT2.2,治疗高胆固醇和动脉样硬化.
科学领域:
- 生物化学 生物化学
- 药理学 药理学是指药理学的学科.
- 计算化学的计算化学
背景情况:
- 胆固醇乙烯转移酶 (ACAT) 是胆固醇代谢和细胞内化中的关键.
- 抑制ACAT可以降低血脂并预防动脉样硬化.
- 选择性ACAT2抑制已在缓解高胆固醇和动脉样硬化方面表现出有效性.
研究的目的:
- 开发一个虚拟查工作流程,用于识别选择性ACAT2抑制剂.
- 发现具有强大的ACAT2抑制活性和选择性的新型化合物.
- 为了阐明ACAT2抑制的分子机制.
主要方法:
- 建立了一个多层虚拟选工作流.
- 使用酶抑制试验选生物评估化合物.
- 采用计算方法来分析分子机制并识别结合热点.
主要成果:
- 确定了两个强大的ACAT2抑制剂,STL565001和STL528213,对ACAT1.1具有很高的选择性.
- 在25μM下,STL565001的抑制率为75.7% (选择性=6),STL528213的抑制率为87.8% (选择性=13).
- 在ACAT2中确定了关键的热点残留物,用于连接物结合.
结论:
- 多层查方案有效地确定了ACAT2抑制剂.
- 这些已识别的化合物为ACAT2向药物设计提供了新的支架.
- 这种方法加速了对胆固醇相关疾病的潜在治疗方法的发现.
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