识别潜在的Akt激活器:基于连接体和结构的计算方法
Harish B Kumar1, Suman Manandhar1, Ekta Rathi2
1Department of Pharmacology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Molecular diversity
|July 2, 2023
概括
这项研究通过结合计算方法来确定新的Akt激活剂. 像83824832和12289533这样的有前途的化合物显示出治疗与Akt路径相关的疾病的潜力.
科学领域:
- 生物化学和分子生物学
- 药用化学 医学化学
- 计算机化药物发现技术
背景情况:
- 阿克特通路在阿尔茨海默氏症,帕金森症和糖尿病等疾病中至关重要.
- 活性酸化调节了许多下游细胞过程.
- 与Akt的PH域结合的小分子可以增强其活性.
研究的目的:
- 为了识别激活Akt路径的新型小分子.
- 探索潜在的Akt激活剂的结构-活动关系.
主要方法:
- 基于质体的虚拟查 (2D QSAR,形状,药物查).
- 基于结构的药物设计 (对接,MM-GBSA,ADME预测,MD模拟).
- 对Akt1 PH域 (PDB:1UNQ) 相互作用的分析.
主要成果:
- 25种化合物在二维QSAR模型中表现出活性,并进行了查.
- 根据对接和稳定性选择了五种化合物 (197105, 261126, 253878, 256085, 123435).
- MD模拟确定了 83824832 和 12289533 化合物作为具有关键残留相互作用的稳定 Akt 激活剂.
结论:
- 计算方法成功地确定了潜在的Akt路径激活器.
- 化合物83824832和12289533在进一步药物开发方面表现出有希望的特性.
- 已识别的分子可以作为Akt相关疾病的治疗线索.
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