Fayyaz Ammara, Ejaz Syeda Abida, Alsfouk Bshra A, Ejaz Syeda Rabia
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan.
Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Appl Biochem Biotechnol. 2024 Nov;196(11):8389-8409. doi: 10.1007/s12010-024-04996-2. Epub 2024 Jun 14.
Alzheimer's disease (AD) is the predominant etiology of dementia, impacting a global population of approximately 50 million individuals. In the field of medicinal chemistry, there have been notable advancements in the utilization of monoamine oxidase (MAO) and cholinesterase (ChE) inhibitors for the purpose of addressing the neurotransmitter shortage associated with Alzheimer's disease (AD). A selection of previously synthesized 3-Phenylcoumarin derivatives (5a-m) were selected for examination in the pursuit of potential multi-targeting inhibitors of MAO-A, MAO-B, AChE, and BChE. The stability and reactivity of the compounds were investigated through the utilization of density functional theory (DFT) simulations. Subsequently, a CoMFA technique, grounded in 3D-QSAR principles, was employed to construct a model and predict the inhibitory properties of analogues belonging to the class of 3-phenylcoumarin derivatives. Through the application of molecular docking methodologies, we have employed predictive analyses to determine the potential binding interactions and stability of the drugs under investigation. The results obtained from the present investigation indicate that the 3-phenylcoumarin derivatives possess a reactive electronic characteristic that is crucial for their anti-cholinesterase activity. Compound 5a demonstrated a noteworthy binding score with AChE, BChE, MAO-A and MAO-B, respectively, indicating a robust binding affinity.
阿尔茨海默病(AD)是痴呆症的主要病因,影响着全球约5000万人。在药物化学领域,单胺氧化酶(MAO)和胆碱酯酶(ChE)抑制剂在解决与阿尔茨海默病(AD)相关的神经递质短缺问题方面取得了显著进展。为了寻找潜在的MAO - A、MAO - B、AChE和BChE多靶点抑制剂,选择了一些先前合成的3 - 苯基香豆素衍生物(5a - m)进行研究。通过利用密度泛函理论(DFT)模拟研究了这些化合物的稳定性和反应活性。随后,采用基于3D - QSAR原理的CoMFA技术构建模型,并预测3 - 苯基香豆素衍生物类类似物的抑制特性。通过应用分子对接方法,我们进行了预测分析,以确定所研究药物的潜在结合相互作用和稳定性。本研究获得的结果表明,3 - 苯基香豆素衍生物具有对其抗胆碱酯酶活性至关重要的反应性电子特性。化合物5a分别与AChE、BChE、MAO - A和MAO - B表现出显著的结合分数,表明具有较强的结合亲和力。