Department of Traditional Chinese Medicine, Xiamen University Hospital, Xiamen University, Xiamen, Fujian Province, 361005, China.
College of Ocean and Earth Sciences, Xiamen University, Xiamen, Fujian Province, 361102, China.
Chin J Integr Med. 2020 Jul;26(7):527-532. doi: 10.1007/s11655-020-3476-x. Epub 2020 Jul 6.
To seek potential Chinese herbal medicine (CHM) for the treatment of coronavirus disease 2019 (COVID-19) through the molecular docking of the medicine with SARS-CoV-2 3CL hydrolytic enzyme and the angiotensin converting enzyme II(ACE2) as receptors, using computer virtual screening technique, so as to provide a basis for combination forecasting.
The molecular docking of CHM with the SARS-Cov-2 3CL hydrolase and the ACE2 converting enzyme, which were taken as the targets, was achieved by the Autodock Vina software. The CHM monomers acting on 3CLpro and ACE2 receptors were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform, the active ingredients were selected, and the key CHMs and compounds were speculated. Based on the perspective of network pharmacology, the chemical-target network was constructed, and the functional enrichment analysis of gene ontology and the pathway enrichment analysis of Kyoto encyclopedia of genes and genomes were carried out by DAVID to speculate about the mechanism of action of the core drug pairs.
There are 6 small molecule compounds that have the optimal binding energy with the two target proteins. Among 238 potential anti-COVID-19 herbs screened in total, 16 kinds of CHM containing the most active ingredients, and 5 candidate anti-COVID-19 herbs that had been used in high frequency, as well as a core drug pair, namely, Forsythiae Fructus-Lonicerae Japonicae Flos were selected.
The core drug pair of Forsythiae Fructus-Lonicerae Japonicae Flos containing multiple components and targets is easy to combine with 3CLpro and ACE2, and exerts an anti-COVID-19 pneumonia effect through multi-component and multi-target, and plays the role of anti-COVID-19 pneumonia in multi-pathway.
通过计算机虚拟筛选技术,将中药与 SARS-CoV-2 3CL 水解酶和血管紧张素转化酶 II(ACE2)作为受体进行分子对接,寻找治疗 2019 年冠状病毒病(COVID-19)的潜在中药,为组合预测提供依据。
采用 Autodock Vina 软件对中药与 SARS-CoV-2 3CL 水解酶和 ACE2 转化酶这两个靶点进行分子对接,从中药系统药理学数据库与分析平台中检索作用于 3CLpro 和 ACE2 受体的中药单体,筛选出活性成分,推测关键中药和化合物。基于网络药理学的角度,构建化学-靶标网络,采用 DAVID 进行基因本体功能富集分析和京都基因与基因组百科全书通路富集分析,推测核心药物对的作用机制。
有 6 种小分子化合物与两种靶蛋白具有最佳的结合能。在总共筛选出的 238 种有潜在抗 COVID-19 作用的中药中,有 16 种中药含有最多的活性成分,有 5 种候选抗 COVID-19 中药使用频率较高,同时还选择了一个核心药物对,即连翘-金银花。
连翘-金银花这一对含有多种成分和靶点的核心药物对,容易与 3CLpro 和 ACE2 结合,通过多成分、多靶点发挥抗 COVID-19 肺炎作用,多途径发挥抗 COVID-19 肺炎作用。