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基于计算机模拟方法设计具有乙酰胆碱酯酶和β-分泌酶抑制活性的姜黄素和类黄酮衍生物。

Design of Curcumin and Flavonoid Derivatives with Acetylcholinesterase and Beta-Secretase Inhibitory Activities Using in Silico Approaches.

机构信息

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.

出版信息

Molecules. 2020 Aug 10;25(16):3644. doi: 10.3390/molecules25163644.

Abstract

Acetylcholinesterase (AChE) and beta-secretase (BACE-1) are the two crucial enzymes involved in the pathology of Alzheimer's disease. The former is responsible for many defects in cholinergic signaling pathway and the latter is the primary enzyme in the biosynthesis of beta-amyloid as the main component of the amyloid plaques. These both abnormalities are found in the brains of Alzheimer's patients. In this study, in silico models were developed, including 3D-pharmacophore, 2D-QSAR (two-dimensional quantitative structure-activity relationship), and molecular docking, to screen virtually a database of compounds for AChE and BACE-1 inhibitory activities. A combinatorial library containing more than 3 million structures of curcumin and flavonoid derivatives was generated and screened for drug-likeness and enzymatic inhibitory bioactivities against AChE and BACE-1 through the validated in silico models. A total of 47 substances (two curcumins and 45 flavonoids), with remarkable predicted pIC values against AChE and BACE-1 ranging from 4.24-5.11 (AChE) and 4.52-10.27 (BACE-1), were designed. The in vitro assays on AChE and BACE-1 were performed and confirmed the in silico results. The study indicated that, by using in silico methods, a series of curcumin and flavonoid structures were generated with promising predicted bioactivities. This would be a helpful foundation for the experimental investigations in the future. Designed compounds which were the most feasible for chemical synthesis could be potential candidates for further research and lead optimization.

摘要

乙酰胆碱酯酶(AChE)和β-分泌酶(BACE-1)是阿尔茨海默病病理中涉及的两种关键酶。前者负责胆碱能信号通路的许多缺陷,后者是β-淀粉样蛋白生物合成的主要酶,β-淀粉样蛋白是淀粉样斑块的主要成分。这些异常都存在于阿尔茨海默病患者的大脑中。在这项研究中,通过开发包括 3D-药效团、2D-QSAR(二维定量构效关系)和分子对接在内的计算模型,从化合物数据库中筛选出对 AChE 和 BACE-1 具有抑制活性的化合物。生成了一个包含超过 300 万个姜黄素和类黄酮衍生物结构的组合文库,并通过验证的计算模型筛选药物相似性和对 AChE 和 BACE-1 的酶抑制生物活性。总共设计了 47 种物质(两种姜黄素和 45 种类黄酮),对 AChE 和 BACE-1 的预测 pIC 值显著,范围分别为 4.24-5.11(AChE)和 4.52-10.27(BACE-1)。进行了 AChE 和 BACE-1 的体外测定,证实了计算结果。该研究表明,通过使用计算方法,可以生成一系列具有潜在生物活性的姜黄素和类黄酮结构。这将为未来的实验研究提供有帮助的基础。最适合化学合成的设计化合物可能是进一步研究和先导优化的潜在候选物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d04/7464027/0407871f8b08/molecules-25-03644-g001.jpg

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