关于使用黑小茴香衍生物抗癌以及将 COVID-19 作为天然药物的研究。

IF 2.4 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Faik Gökalp
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引用次数: 0

摘要

多年来,黑孜然一直被用作香料和食品防腐剂。百里酚、胸腺醌、胸腺氢醌和二氢胸腺醌是黑小茴香中最重要的天然物质。为了确定黑小茴香中最有效的化合物,我们利用密度泛函理论(DFT)在不同的相中进行了理论计算。确定了黑小茴香衍生物对组蛋白去乙酰化酶 2(HDAC2)的抑制效果,为实验研究提供了支持,且不会浪费时间和物质。对黑小茴香中活性物质的化学活性、稳定性和溶解度进行了理论计算。研究了用水提取黑小茴香种子中的化学活性化合物。它们在血液和水中的稳定性和极性是重要的参数。研究了 HDAC2- 二氢对苯二酚的相互作用。通过比较重要受体与 COVID-19 上所选配体的对接结果,确定了黑小茴香中的活性物质在保护 ACE2 免受 COVID-19 侵害方面非常有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An investigation into the usage of black cumin derivatives against cancer and COVID-19 as the nature medicine.

Black cumin has been used as a spice and food preservative for years. Thymol, thymoquinone, thymohydroquinone and dihydrothymoquinone are the most important natural agents in black cumin. In order to determine the most active compound in black cumin the theoretical calculations have been carried out in different phases by using the density functional theory (DFT). The inhibition effect of black cumin derivatives on Histone deacetylase 2 (HDAC2) has been determined and supported the experimental studies without losing time and matter. The chemical activity, stability and solubility of the active substances in black cumin have been theoretically calculated. The chemical active compounds had been investigated in the black seeds when extracted with water. Their stability and polarity in blood and water are important parameters. HDAC2- dihydrothymoquinone interaction has been investigated. It has been determined that the active substances found in black cumin are very effective in protecting ACE2 against COVID-19 and by comparing the docking results of important receptors and selected ligands on COVID-19.

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来源期刊
Journal of Biomolecular Structure & Dynamics
Journal of Biomolecular Structure & Dynamics 生物-生化与分子生物学
CiteScore
8.90
自引率
9.10%
发文量
597
审稿时长
2 months
期刊介绍: The Journal of Biomolecular Structure and Dynamics welcomes manuscripts on biological structure, dynamics, interactions and expression. The Journal is one of the leading publications in high end computational science, atomic structural biology, bioinformatics, virtual drug design, genomics and biological networks.
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