通过化学信息学和网络药理学重新利用可菲林向化合物治疗缺血性中风
Saleh I Alaqel1,2, Abida Khan1,3, Mashael N Alanazi1
1Department of Pharmaceutical Chemistry, College of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia.
Pharmaceuticals (Basel, Switzerland)
|September 27, 2025
概括
这项研究重新定位了LIMK1抑制剂,以寻找用于缺血性中风的新型可菲林向药物. 使用计算方法确定了三个有前途的化合物,为神经炎症和中风损伤提供了潜在的新疗法.
科学领域:
- 神经科学是一个神经科学.
- 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:
- 科菲林调节着actin动态,并与缺血性中风病理有关,包括神经炎症和血脑屏障破坏.
- 现有的中风治疗方法不针对cofilin,突出显示需要新的治疗策略.
- 这项研究的重点是重新利用LIMK1抑制剂来识别cofilin结合分子.
研究的目的:
- 为了确定潜在的cofilin结合分子用于缺血性中风治疗.
- 通过综合计算方法重新利用现有的LIMK1抑制剂.
- 通过分子对接,模拟和网络药理学验证已识别的化合物.
主要方法:
- 一个化学信息学管道,将定量结构-活动关系 (QSAR) 建模与机器学习算法和分子指纹相结合.
- 分子对接,300 ns分子动力学模拟,MM-GBSA结合能计算,PCA和DCCM分析对优先级候选人进行.
- 网络药理学被用来识别选定化合物和中风相关基因之间的重叠目标.
主要成果:
- 三种化合物 (CHEMBL3613624,ZINC000653853876,甘多替尼) 根据QSAR,结合亲和力和结构相关性优先考虑.
- 分子动力学模拟证实了与cofilin的稳定相互作用,Gandotinib显示出高的结构稳定性和有利的能量.
- 网络药理学发现了8个交叉的点,包括MAPK1和PRKCB,与神经炎症和中风中的血管路径有关.
结论:
- 开发了一种整合性计算框架,用于重新定位在缺血性中风中向cofilin的药物.
- 已识别的化合物,特别是ZINC000653853876和甘多替尼,显示出对缺血性中风的治疗潜力.
- 建议对所选择的可菲林向候选人进行进一步的实验验证.
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