使用机器学习指导和评估阿司匹林用于偏好的COX-2抑制的分子修饰
Qi Yang1, Guiyuan Pang1, Meiyu Huang1
1Faculty of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, PR China; Guangxi Key Laboratory of Efficacy Study on Chinese Materia Medica, Guangxi University of Chinese Medicine, Nanning 530200, PR China.
Journal of pharmaceutical sciences
|July 27, 2025
概括
研究人员修改了阿司匹林以选择性抑制COX-2酶,减少胃肠道副作用. 这种计算机辅助设计方法可以增强治疗效果,同时最大限度地减少不良反应,使NSAID开发更安全.
科学领域:
- 药用化学 医学化学
- 计算机化药物设计技术
- 药理学 药理学是指药理学的学科.
背景情况:
- 阿司匹林是一种非类固醇抗炎药物 (NSAID),由于同时抑制COX-1和COX-2酶,导致胃肠道副作用.
- COX-1与不良反应有关,而COX-2与治疗作用有关,因此需要选择性抑制剂.
研究的目的:
- 通过计算设计阿司匹林衍生物,提高对COX-2抑制的选择性.
- 探索结构-活性关系,以开发更安全的NSAIDs,降低胃肠道毒性.
主要方法:
- 构建用于COX-1和COX-2抑制剂的化合物数据库.
- 使用ADME属性和X射线晶体学数据对联体-标结合的分析.
- 使用分子拓描述符开发预测模型.
- 使用ChemDraw和计算工具实时对阿司匹林进行分子修饰.
- 机器学习和分子对接来评估改性阿司匹林的疗效和选择性.
主要成果:
- 确定影响COX-1/2抑制的关键分子特征 (分子量,TPSA,LogP,分子形状).
- 设计和合成10个修改过的阿司匹林结构.
- 计算验证显示,在修改后的阿司匹林变体中,对COX-2的增强优先抑制超过了COX-1.
- 与标准阿司匹林相比,证明了减少胃肠道副作用的潜力.
结论:
- 修改过的阿司匹林衍生物显示出对COX-2抑制有希望的选择性.
- 这项研究提供了一种新的计算机辅助设计策略,用于开发更安全的NSAID.
- 这些发现为设计COX-2选择性抑制剂和减轻药物诱导的不良反应提供了参考.
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