Department of Medicinal Chemistry, Faculty of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City 700000, Vietnam.
Department of Pharmaceutical Chemistry, Faculty of Pharmacy, College of Medicine and Pharmacy, Hue University, Hue City 530000, Vietnam.
Molecules. 2020 Aug 27;25(17):3916. doi: 10.3390/molecules25173916.
Acetylcholinesterase (AChE) and beta-secretase (BACE-1) are two attractive targets in the discovery of novel substances that could control multiple aspects of Alzheimer's disease (AD). Chalcones are the flavonoid derivatives with diverse bioactivities, including AChE and BACE-1 inhibition. In this study, a series of -substituted-4-phenothiazine-chalcones was synthesized and tested for AChE and BACE-1 inhibitory activities. In silico models, including two-dimensional quantitative structure-activity relationship (2D-QSAR) for AChE and BACE-1 inhibitors, and molecular docking investigation, were developed to elucidate the experimental process. The results indicated that 13 chalcone derivatives were synthesized with relatively high yields (39-81%). The bioactivities of these substances were examined with pIC 3.73-5.96 (AChE) and 5.20-6.81 (BACE-1). Eleven of synthesized chalcones had completely new structures. Two substances AC4 and AC12 exhibited the highest biological activities on both AChE and BACE-1. These substances could be employed for further researches. In addition to this, the present study results suggested that, by using a combination of two types of predictive models, 2D-QSAR and molecular docking, it was possible to estimate the biological activities of the prepared compounds with relatively high accuracy.
乙酰胆碱酯酶(AChE)和β-分泌酶(BACE-1)是发现能够控制阿尔茨海默病(AD)多个方面的新型物质的两个有吸引力的靶标。查耳酮是具有多种生物活性的类黄酮衍生物,包括 AChE 和 BACE-1 抑制作用。在这项研究中,合成了一系列 -取代-4-吩噻嗪-查耳酮,并测试了它们对 AChE 和 BACE-1 的抑制活性。开发了包括二维定量构效关系(2D-QSAR)在内的计算机模型,用于阐明实验过程。结果表明,有 13 种查尔酮衍生物以相对较高的产率(39-81%)合成。这些物质的生物活性通过 pIC 3.73-5.96(AChE)和 5.20-6.81(BACE-1)进行了检查。所合成的 11 种查尔酮具有完全新颖的结构。两种物质 AC4 和 AC12 在 AChE 和 BACE-1 上均表现出最高的生物活性。这些物质可以进一步研究。此外,本研究结果表明,通过使用两种预测模型(2D-QSAR 和分子对接)的组合,可以相对准确地估计所制备化合物的生物活性。