从FDA批准的数据库中对阿尔茨海默病药物的计算预后评估,通过结构形态动力学和药物重新定位方法
Mubashir Hassan1, Saba Shahzadi2, Muhammad Yasir3
1The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, 43205, USA. Mubasher.Hassan@nationwidechildrens.org.
Scientific reports
|October 21, 2023
概括
计算药物重新定位识别了六种FDA批准的阿尔茨海默病 (AD) 药物. 这些药物,包括达里芬素和塞尔廷多尔,在进一步测试后显示为潜在的治疗药物.
科学领域:
- 计算机化药物发现.
- 药物基因组学 药物基因组学
- 神经科学是一个神经科学.
背景情况:
- 药物设计是昂贵和耗时的,成功率很低.
- 计算药物重新定位为确定现有药物的新治疗用途提供了一种具有成本效益的方法.
研究的目的:
- 以计算方式识别FDA批准的药物用于阿尔茨海默病 (AD) 治疗.
- 通过各种计算方法,评估针对阿尔茨海默病的重新定位药物的潜在治疗疗效.
主要方法:
- 使用同质模型来预测MADD蛋白质结构.
- 进行了基于形状的选,分子对接和药物基因组学分析.
- 分子动态模拟评估了候选药物的稳定性和结合相互作用.
主要成果:
- 六种药物 (达里芬素,阿斯泰米佐尔,图布库拉林,埃拉克里达尔,塞尔廷多尔,塔里基达尔) 与MADD蛋白具有显著的结合亲和力和有利的相互作用.
- 药物基因组学分析支持这些药物与AD相关基因的关联.
- 分子动力学模拟表明,已识别的候选药物具有良好的稳定性.
结论:
- 达里芬素,阿斯泰米佐尔,图博库拉林,埃拉克里达尔,塞尔廷多尔和塔里基达尔显示出作为治疗阿尔茨海默病的治疗剂的潜力.
- 这些重新设计的药物需要进一步的体外和体外研究来治疗阿尔茨海默病.
- 计算药物重新定位是识别新型AD疗法的有效策略.
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