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通过多阶段方法,利用计算机辅助发现潜在的 SARS-CoV-2 RNA 依赖性 RNA 聚合酶的天然抑制剂。

Computer-assisted drug discovery of potential natural inhibitors of the SARS-CoV-2 RNA-dependent RNA polymerase through a multi-phase approach.

机构信息

Department of Pharmaceutical Sciences, College of Pharmacy, AlMaarefa University, Riyadh, Saudi Arabia.

Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.

出版信息

Antivir Ther. 2023 Oct;28(5):13596535231199838. doi: 10.1177/13596535231199838.

Abstract

BACKGROUND

The COVID-19 pandemic has led to significant loss of life and economic disruption worldwide. Currently, there are limited effective treatments available for this disease. SARS-CoV-2 RNA-dependent RNA polymerase (SARS-CoV-2 RdRp) has been identified as a potential target for drug development against COVID-19. Natural products have been shown to possess antiviral properties, making them a promising source for developing drugs against SARS-CoV-2.

OBJECTIVES

The objective of this study is to identify the most effective natural inhibitors of SARS-CoV-2 RdRp among a set of 4924 African natural products using a multi-phase approach.

METHODS

The study utilized remdesivir (RTP), the co-crystallized ligand of RdRp, as a starting point to select compounds that have the most similar chemical structures among the examined set of compounds. Molecular fingerprints and structure similarity studies were carried out in the first part of the study. The second part of the study included molecular docking against SARS-CoV-2 RdRp (PDB ID: 7BV2) and Molecular Dynamics (MD) simulations including the calculation of RMSD, RMSF, Rg, SASA, hydrogen bonding, and PLIP. Moreover, the calculations of Molecular mechanics with generalised Born and surface area solvation (MM-GBSA) Lennard-Jones and Columbic electrostatic interaction energies have been conducted. Additionally, ADMET and toxicity studies were performed to examine the drug likeness degrees of the selected compounds.

RESULTS

Eight compounds were identified as the most effective natural inhibitors of SARS-CoV-2 RdRp. These compounds are kaempferol 3-galactoside, kaempferol 3---D-glucopyranoside, mangiferin methyl ether, luteolin 7---D-glucopyranoside, quercetin---D-3-glucopyranoside, 1-methoxy-3-indolylmethyl glucosinolate, naringenin, and asphodelin A 4'---D-glucopyranoside.

CONCLUSION

The results of this study provide valuable information for the development of natural product-based drugs against COVID-19. However, the elected compounds should be further studied and to confirm their efficacy in treating COVID-19.

摘要

背景

COVID-19 大流行导致全球范围内大量生命损失和经济中断。目前,针对这种疾病的有效治疗方法有限。SARS-CoV-2 RNA 依赖性 RNA 聚合酶(SARS-CoV-2 RdRp)已被确定为开发针对 COVID-19 的药物的潜在靶标。天然产物已被证明具有抗病毒特性,使其成为开发针对 SARS-CoV-2 的药物的有前途的来源。

目的

本研究的目的是使用多阶段方法从 4924 种非洲天然产物中确定 SARS-CoV-2 RdRp 的最有效天然抑制剂。

方法

该研究利用瑞德西韦(RTP),即 RdRp 的共结晶配体,作为起点,从所检查的化合物中选择具有最相似化学结构的化合物。在研究的第一部分进行了分子指纹和结构相似性研究。研究的第二部分包括针对 SARS-CoV-2 RdRp(PDB ID:7BV2)的分子对接和分子动力学(MD)模拟,包括 RMSD、RMSF、Rg、SASA、氢键和 PLIP 的计算。此外,还进行了分子力学与广义 Born 和表面积溶剂化(MM-GBSA) Lennard-Jones 和 Columbic 静电相互作用能的计算。此外,还进行了 ADMET 和毒性研究,以检查所选化合物的药物相似程度。

结果

确定了 8 种化合物为 SARS-CoV-2 RdRp 的最有效天然抑制剂。这些化合物是山柰酚 3-半乳糖苷、山柰酚 3-D-吡喃葡萄糖苷、芒果苷甲基醚、木樨草素 7-D-吡喃葡萄糖苷、槲皮素-D-3-吡喃葡萄糖苷、1-甲氧基-3-吲哚基甲基葡萄糖硫苷、柚皮苷和 Asphodelin A 4'-D-吡喃葡萄糖苷。

结论

本研究结果为开发针对 COVID-19 的天然产物药物提供了有价值的信息。然而,所选化合物应进一步研究以确认其治疗 COVID-19 的功效。

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