Suppr超能文献

利用分子建模方法从天然产物入手,针对 SARS-CoV-2 感染中的免疫逃避复合物 ORF8-IRF3 靶向宿主免疫系统。

Rescuing the Host Immune System by Targeting the Immune Evasion Complex ORF8-IRF3 in SARS-CoV-2 Infection with Natural Products Using Molecular Modeling Approaches.

机构信息

Department of Medical Biotechnology, College of Applied Medical Sciences, Qassim University, Buraydah 52571, Saudi Arabia.

出版信息

Int J Environ Res Public Health. 2021 Dec 23;19(1):112. doi: 10.3390/ijerph19010112.

Abstract

The perennial emergence of SARS-CoV-2 and its new variants causing upper respiratory complexities since December 2019 has aggravated the pandemic situation around the world. SARS-CoV-2 encodes several proteins among which ORF8 is a novel factor that is unique to SARS-CoV-2 only and is reported to help the virus in disease severity and immune evasion. ORF8-IRF3 complex induces endoplasmic reticulum stress, thus helps in the evasion of immune response. Consequently, targeting the ORF8-IRF3 complex is considered as a prime target for the discovery of novel drugs against SARS-CoV-2. In this regard, computational methods are of great interest to fast track the identification and development of novel drugs. Virtual screening of South African Natural Compounds Database (SANCDB), followed by docking and molecular dynamics (MD) simulation analysis, were performed to determine novel natural compounds. Computational molecular search and rescoring of the SANCDB database followed by induced-fit docking (IFD) protocol identified Quercetin 3-O-(6″-galloyl)-beta-D-galactopyranoside (SANC00850), Tribuloside (SANC01050), and Rutin (SANC00867) are the best scoring compounds. Structural-dynamic properties assessment revealed that these three compounds have stable dynamics, compactness, and a higher number of hydrogen bonds. For validation, we used MM/GBSA, in silico bioactivity estimation and dissociation constant (K) approaches, which revealed that these compounds are the more potent inhibitors of the ORF8-IRF3 complex and would rescue the host immune system potentially. These compounds need further in vitro and in vivo validations to be used as therapeutics against SARS-CoV-2 to rescue the host immune system during COVID-19 infection.

摘要

自 2019 年 12 月以来,SARS-CoV-2 及其新变种不断出现,导致上呼吸道疾病复杂化,使全球大流行形势恶化。SARS-CoV-2 编码多种蛋白,其中 ORF8 是一种新型因子,仅存在于 SARS-CoV-2 中,据报道有助于病毒的疾病严重程度和免疫逃逸。ORF8-IRF3 复合物诱导内质网应激,从而有助于逃避免疫反应。因此,靶向 ORF8-IRF3 复合物被认为是发现针对 SARS-CoV-2 的新型药物的主要靶点。在这方面,计算方法对于快速识别和开发新型药物具有重要意义。对南非天然化合物数据库 (SANCDB) 进行虚拟筛选,然后进行对接和分子动力学 (MD) 模拟分析,以确定新型天然化合物。通过计算分子搜索和对 SANCDB 数据库的重新评分,以及诱导拟合对接 (IFD) 方案,确定槲皮素 3-O-(6”-没食子酰基)-β-D-半乳糖吡喃糖苷 (SANC00850)、三萜糖苷 (SANC01050) 和芦丁 (SANC00867) 是得分最高的化合物。结构动力学性质评估表明,这三种化合物具有稳定的动力学、紧凑性和更多的氢键。为了验证,我们使用 MM/GBSA、虚拟生物活性估计和离解常数 (K) 方法,结果表明这些化合物是 ORF8-IRF3 复合物的更有效抑制剂,并可能潜在地挽救宿主免疫系统。这些化合物需要进一步的体外和体内验证,才能作为治疗 SARS-CoV-2 的药物,在 COVID-19 感染期间挽救宿主免疫系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/952b/8750414/09c571a53b11/ijerph-19-00112-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验