Bilginer Sinan, Gözcü Sefa, Güvenalp Zuhal
Atatürk University, Faculty of Pharmacy, Department of Pharmaceutical Chemistry, Erzurum, Türkiye.
Erzincan Binali Yıldırım University, Faculty of Pharmacy, Department of Pharmacognosy, Erzincan, Türkiye.
Turk J Pharm Sci. 2022 Aug 31;19(4):431-441. doi: 10.4274/tjps.galenos.2021.83548.
Coronaviruses (CoVs) cause infections that affect the respiratory tract, liver, central nervous, and the digestive systems in humans and animals. This study focused on the main protease (M) in CoVs (PDB ID: 6LU7) that is used as a potential drug target to combat 2019-CoV. In this study, a total of 35 secondary metabolites from medical plants was selected and docked into the active site of 6LU7 by molecular docking studies to find a potential inhibitory compound that may be used to inhibit Coronavirus Disease-2019 (COVID-19) infection pathway.
The chemical structures of the ligands were obtained from the Drug Bank (https://www.drugbank.ca/). AutoDockTools (ADT ver. 1.5.6) was used for molecular docking studies. The docking results were evaluated using BIOVIA Discovery Studio Visualizer and PyMOL (ver. 2.3.3, Schrodinger, LLC).
Pycnamine, tetrahydrocannabinol, oleuropein, quercetin, primulic acid, kaempferol, dicannabidiol, lobelin, colchicine, piperidine, medicagenic acid, and narcotine is found to be potential inhibitors of the COVID-19 M. Among these compounds, pycnamine, which was evaluated against COVID-19 for the first time, showed a high affinity to the COVID-19 M compared with other seconder metabolites and reference drugs.
Our results obtained from docking studies suggest that pycnamine should be examined to combat 2019-CoV. Moreover, pycnamine might be a promising lead compound for anti-CoV drugs.
冠状病毒(CoVs)可引发感染,影响人类和动物的呼吸道、肝脏、中枢神经系统及消化系统。本研究聚焦于冠状病毒中的主要蛋白酶(M)(蛋白质数据银行ID:6LU7),其被用作对抗2019-CoV的潜在药物靶点。在本研究中,共选取了35种来自药用植物的次生代谢产物,并通过分子对接研究将其对接至6LU7的活性位点,以寻找可能用于抑制2019冠状病毒病(COVID-19)感染途径的潜在抑制性化合物。
配体的化学结构取自药物银行(https://www.drugbank.ca/)。使用自动对接工具(ADT版本1.5.6)进行分子对接研究。对接结果使用BIOVIA Discovery Studio Visualizer和PyMOL(版本2.3.3,薛定谔有限责任公司)进行评估。
发现吡咯胺、四氢大麻酚、橄榄苦苷、槲皮素、报春花酸、山奈酚、二大麻酚、洛贝林、秋水仙碱、哌啶、产 medicagenic酸和那可丁是COVID-19 M的潜在抑制剂。在这些化合物中,首次针对COVID-19进行评估的吡咯胺与其他次生代谢产物和参考药物相比,对COVID-19 M表现出高亲和力。
我们从对接研究中获得的结果表明,应研究吡咯胺以对抗2019-CoV。此外,吡咯胺可能是一种有前景的抗CoV药物先导化合物。