Computational Analysis of Natural Compounds as Cyclin-Dependent Kinase-5 Inhibitors for Alzheimer's and Parkinson's Disease

Dia Advani, Pravir Kumar
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Abstract

Deregulation of cyclin-dependent kinase-5 is a hallmark of different neurodegenerative disorders, including Alzheimer's and Parkinson's disease. Herein, we have screened different natural compounds with anticancer properties against cyclin-dependent kinase-5 enzyme. The blood-brain barrier permeability and pharmacokinetic analysis, including various descriptors, screened 27 natural compounds. The docking of candidate compounds identified 3 compounds with good docking energies and stable interactions when compared to the reference drug roscovitine. Further, molecular dynamics simulation analysis including root mean square deviation, root mean square fluctuation, the radius of gyration and binding energies for 50ns revealed two compounds. Overall, we recommend two natural products apigenin and salvianolic acid as candidate inhibitors to target cyclin-dependent kinase-5 for treating Alzheimer's and Parkinson's disease.
作为阿尔茨海默病和帕金森病周期蛋白依赖性激酶-5抑制剂的天然化合物的计算分析
周期蛋白依赖性激酶-5的失调是不同神经退行性疾病的标志,包括阿尔茨海默病和帕金森病。在这里,我们筛选了不同的天然化合物抗癌性质对周期蛋白依赖性激酶-5酶。血脑屏障通透性和药代动力学分析,包括各种描述符,筛选27种天然化合物。候选化合物的对接鉴定出3个与参比药物罗斯科维汀相比具有良好对接能和稳定相互作用的化合物。分子动力学模拟分析包括均方根偏差、均方根波动、旋转半径和50ns结合能。总之,我们推荐两种天然产物芹菜素和丹酚酸作为靶向细胞周期蛋白依赖性激酶-5的候选抑制剂,用于治疗阿尔茨海默病和帕金森病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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