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吲哚生物碱作为对抗 COVID-19 的潜在候选药物:一项计算机研究。

Indole alkaloids as potential candidates against COVID-19: an in silico study.

机构信息

Department of Food and Drug Control, School of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran.

Department of Chemistry, Faculty of Science, University of Zanjan, Zanjan, Iran.

出版信息

J Mol Model. 2022 May 11;28(6):144. doi: 10.1007/s00894-022-05137-4.

Abstract

COVID-19 has recently grown to be pandemic all around the world. Therefore, efforts to find effective drugs for the treatment of COVID-19 are needed to improve humans' life quality and survival. Since the main protease (M) of SARS-CoV-2 plays a crucial role in viral replication and transcription, the inhibition of this enzyme could be a promising and challenging therapeutic target to fight COVID-19. The present study aims to identify alkaloid compounds as new potential inhibitors for SARS-CoV-2 M by the hybrid modeling analyses. The docking-based virtual screening method assessed a collection of alkaloids extracted from over 500 medicinal plants and sponges. In order to validate the docking process, classical molecular dynamic simulations were applied on selected ligands, and the calculation of binding free energy was performed. Based on the proper interactions with the active site of the SARS-CoV-2 M, low binding energy, few side effects, and the availability in the medicinal market, two indole alkaloids were found to be potential lead compounds that may serve as therapeutic options to treat COVID-19. This study paves the way for developing natural alkaloids as stronger potent antiviral agents against the SARS-CoV-2.

摘要

新型冠状病毒肺炎(COVID-19)已在全球蔓延。因此,需要寻找有效的治疗 COVID-19 的药物,以提高人类的生活质量和生存率。由于 SARS-CoV-2 的主要蛋白酶(M)在病毒复制和转录中起着至关重要的作用,因此抑制这种酶可能是对抗 COVID-19 的一个有前景和具有挑战性的治疗靶点。本研究旨在通过混合建模分析,确定生物碱类化合物作为 SARS-CoV-2 M 的新型潜在抑制剂。基于对接的虚拟筛选方法评估了从 500 多种药用植物和海绵中提取的生物碱类化合物的集合。为了验证对接过程,对选定的配体进行了经典分子动力学模拟,并计算了结合自由能。基于与 SARS-CoV-2 M 的活性位点的适当相互作用、低结合能、较少的副作用以及在医药市场上的可用性,发现两种吲哚生物碱可能是治疗 COVID-19 的潜在先导化合物。这项研究为开发天然生物碱作为针对 SARS-CoV-2 的更强有力的抗病毒药物铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8f4/9094126/3fa8d4e4a9ac/894_2022_5137_Fig1_HTML.jpg

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