Department of Pharmaceutical Chemistry, University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh 160014, India.
Department of Pharmaceutical Sciences and Drug Research, Punjabi University, Patiala, Punjab 147002, India.
ACS Chem Neurosci. 2021 May 5;12(9):1648-1666. doi: 10.1021/acschemneuro.1c00092. Epub 2021 Apr 14.
Cholinesterases are significant biological targets for the regulation of cholinergic neurotransmission, and their inhibitors are being exploited for the management of cognitive decline in various neurological conditions. The 1,4-benzoquinone scaffold possesses antioxidant potential along with AChE inhibition activity in various neurological disorders. To design novel and potent selective 1,4-benzoquinone analogues as cholinesterase inhibitors, a ligand-based drug design strategy was followed to develop a 3D quantitative structure-selectivity relationship (QSSR) model. On the basis of the best fit model, eight novel 1,4-benzoquinone derivatives were designed and synthesized implementing appropriate synthetic procedures and were characterized by various spectral and elemental techniques. All the synthesized compounds were evaluated for their selective acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) inhibitory potential at different concentrations using mice brain homogenate as the source of the enzyme. Out of these compounds, the three most selective compounds were further evaluated for behavioral variations using step down passive avoidance and escape learning procedure at a dose of 0.5 mg/kg taking donepezil as the reference drug. Biochemical estimation of the markers of oxidative stress (lipid peroxidation, superoxide dismutase, glutathione, and catalase) has also been carried out to determine the role of the synthesized molecules on the scopolamine induced oxidative damage. Compound displayed appreciable selectivity index values as predicted through the 3D-QSSR model. Further, docked complexes of compound with AChE and BChE were subjected to molecular dynamic simulations for a period of 30 ns to study the orientations and stable conformations of the most active molecules in the catalytic domain of these enzymes. The results obtained from the 3D-QSSR analysis, docking, and molecular dynamic studies were found to be appreciable and provided a deep insight into the structural features required for the selectivity of AChE inhibitors over BChE. The outcome of this study may be used as a novel tool to design new highly selective and more potent molecules.
胆碱酯酶是调节胆碱能神经传递的重要生物靶点,其抑制剂被用于治疗各种神经疾病中的认知功能下降。1,4-苯醌骨架具有抗氧化潜力,同时对各种神经紊乱也具有乙酰胆碱酯酶抑制活性。为了设计新型、有效的选择性 1,4-苯醌类似物作为胆碱酯酶抑制剂,我们采用基于配体的药物设计策略,开发了一个 3D 定量构效关系(QSSR)模型。根据最佳拟合模型,设计并合成了 8 种新型 1,4-苯醌衍生物,通过适当的合成程序进行合成,并通过各种光谱和元素技术进行了表征。所有合成的化合物均在不同浓度下使用小鼠脑匀浆作为酶源,评估其对乙酰胆碱酯酶(AChE)和丁酰胆碱酯酶(BChE)的选择性抑制作用。在这些化合物中,根据 3D-QSSR 模型预测,选择了 3 种最具选择性的化合物,进一步在 0.5mg/kg 剂量下,通过跳下被动回避和逃避学习程序,评估其对行为的变化,以多奈哌齐作为参考药物。还进行了生化标志物(脂质过氧化、超氧化物歧化酶、谷胱甘肽和过氧化氢酶)的氧化应激评估,以确定合成分子对东莨菪碱诱导的氧化损伤的作用。化合物 表现出可观的选择性指数值,与通过 3D-QSSR 模型预测的值相当。进一步对化合物 与 AChE 和 BChE 的对接复合物进行了 30ns 的分子动力学模拟,以研究这些酶的催化域中最活跃分子的取向和稳定构象。从 3D-QSSR 分析、对接和分子动力学研究中得到的结果是令人满意的,为 AChE 抑制剂对 BChE 的选择性所需要的结构特征提供了深入的了解。这项研究的结果可以作为一种新的工具,用于设计新的高选择性和更有效的分子。