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针对新型冠状病毒-血管紧张素转换酶2受体界面的天然产物筛选——基于MixMD的高通量虚拟筛选流程

Screening of Natural Products Targeting SARS-CoV-2-ACE2 Receptor Interface - A MixMD Based HTVS Pipeline.

作者信息

Gopinath Krishnasamy, Jokinen Elmeri M, Kurkinen Sami T, Pentikäinen Olli T

机构信息

Faculty of Medicine, Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland.

出版信息

Front Chem. 2020 Nov 19;8:589769. doi: 10.3389/fchem.2020.589769. eCollection 2020.

Abstract

The COVID-19 pandemic, caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a severe global health crisis now. SARS-CoV-2 utilizes its Spike protein receptor-binding domain (S-protein) to invade human cell through binding to Angiotensin-Converting Enzyme 2 receptor (ACE2). S-protein is the key target for many therapeutics and vaccines. Potential S-protein-ACE2 fusion inhibitor is expected to block the virus entry into the host cell. In many countries, traditional practices, based on natural products (NPs) have been in use to slow down COVID-19 infection. In this study, a protocol was applied that combines mixed solvent molecular dynamics simulations (MixMD) with high-throughput virtual screening (HTVS) to search NPs to block SARS-CoV-2 entry into the human cell. MixMD simulations were employed to discover the most promising stable binding conformations of drug-like probes in the S-protein-ACE2 interface. Detected stable sites were used for HTVs of 612093 NPs to identify molecules that could interfere with the S-protein-ACE2 interaction. In total, 19 NPs were selected with rescoring model. These top-ranked NP-S-protein complexes were subjected to classical MD simulations for 300 ns (3 replicates of 100 ns) to estimate the stability and affinity of binding. Three compounds, ZINC000002128789, ZINC000002159944 and SN00059335, showed better stability in all MD runs, of which ZINC000002128789 was predicted to have the highest binding affinity, suggesting that it could be effective modulator in RBD-ACE2 interface to prevent SARS-CoV-2 infection. Our results support that NPs may provide tools to fight COVID-19.

摘要

由新型严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起的2019冠状病毒病大流行,是当前一场严重的全球健康危机。SARS-CoV-2利用其刺突蛋白受体结合域(S蛋白)与血管紧张素转换酶2受体(ACE2)结合,从而侵入人体细胞。S蛋白是许多治疗药物和疫苗的关键靶点。潜在的S蛋白-ACE2融合抑制剂有望阻止病毒进入宿主细胞。在许多国家,基于天然产物(NPs)的传统方法已被用于减缓2019冠状病毒病的感染。在本研究中,应用了一种将混合溶剂分子动力学模拟(MixMD)与高通量虚拟筛选(HTVS)相结合的方案,以寻找可阻止SARS-CoV-2进入人体细胞的天然产物。MixMD模拟用于发现类药物探针在S蛋白-ACE2界面中最有前景的稳定结合构象。检测到的稳定位点用于对612093种天然产物进行高通量虚拟筛选,以识别可能干扰S蛋白-ACE2相互作用的分子。通过重打分模型总共筛选出19种天然产物。对这些排名靠前的天然产物-S蛋白复合物进行300纳秒的经典分子动力学模拟(3次重复,每次100纳秒),以评估结合的稳定性和亲和力。三种化合物ZINC000002128789、ZINC000002159944和SN00059335在所有分子动力学模拟运行中均表现出更好的稳定性,其中ZINC000002128789预计具有最高的结合亲和力表明它可能是RBD-ACE2界面中有效的调节剂,可预防SARS-CoV-2感染。我们的结果支持天然产物可能为对抗2019冠状病毒病提供工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39a0/7717977/ab0b4708d2e9/fchem-08-589769-g0001.jpg

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