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作为 SARS-CoV-2 S1 糖蛋白受体结合域和主要蛋白酶抑制剂的植物和微生物天然代谢产物的 ADMET 概况和虚拟筛选。

ADMET profile and virtual screening of plant and microbial natural metabolites as SARS-CoV-2 S1 glycoprotein receptor binding domain and main protease inhibitors.

机构信息

Institute of Bioresources and Sustainable Development, Regional Centre, Gangtok, Sikkim 737102, India.

Department of Chemical Sciences, University of Naples Federico II, Via Cintia 4, 80126, Naples, Italy.

出版信息

Eur J Pharmacol. 2021 Jan 5;890:173648. doi: 10.1016/j.ejphar.2020.173648. Epub 2020 Oct 16.

Abstract

In an attempt to search for selective inhibitors against the SARS-CoV-2 which caused devastating of lives and livelihoods across the globe, 415 natural metabolites isolated from several plants, fungi and bacteria, belonging to different classes, were investigated. The drug metabolism and safety profiles were computed in silico and the results showed seven compounds namely fusaric acid, jasmonic acid, jasmonic acid methyl ester, putaminoxin, putaminoxin B and D, and stagonolide K were predicted to having considerable absorption, metabolism, distribution and excretion parameters (ADME) and safety indices. Molecular docking against the receptor binding domain (RBD) of spike glycoprotein (S1) and the main protease (M) exposed the compounds having better binding affinity to main protease as compared to the S1 receptor binding domain. The docking results were compared to an antiviral drug penciclovir reportedly of clinical significance in treating the SARS-CoV-2 infected patients. The results demonstrated the test compounds jasmonic acid, putaminoxins B and D bound to the HIS-CYS catalytic dyad as well as to other residues within the M active site with much greater affinity than penciclovir. The findings of the study suggest that these compounds could be explored as potential SARS-CoV-2 inhibitors, and could further be combined with the experimental investigations to develop effective therapeutics to deal with the present pandemic.

摘要

为了寻找针对导致全球生命和生计遭受严重破坏的 SARS-CoV-2 的选择性抑制剂,研究人员对来自不同类别的几种植物、真菌和细菌中分离出的 415 种天然代谢物进行了研究。通过计算机模拟计算了药物代谢和安全性特征,结果表明,有 7 种化合物,即黄曲霉素、茉莉酸、茉莉酸甲酯、普塔明肟、普塔明肟 B 和 D 以及角鲨烯 K,被预测具有相当的吸收、代谢、分布和排泄参数(ADME)和安全性指数。对 Spike 糖蛋白(S1)受体结合域(RBD)和主要蛋白酶(M)的分子对接表明,与 S1 受体结合域相比,这些化合物对主要蛋白酶具有更好的结合亲和力。将对接结果与据报道具有临床意义的抗 SARS-CoV-2 感染患者的抗病毒药物喷昔洛韦进行了比较。结果表明,测试化合物茉莉酸、普塔明肟 B 和 D 与 HIS-CYS 催化二联体以及 M 活性位点内的其他残基结合的亲和力远大于喷昔洛韦。研究结果表明,这些化合物可以作为潜在的 SARS-CoV-2 抑制剂进行探索,并进一步与实验研究相结合,开发有效的治疗方法来应对当前的大流行。

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