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计算机筛选新型 TMPRSS2 抑制剂用于治疗 COVID-19。

In Silico Screening of Novel TMPRSS2 Inhibitors for Treatment of COVID-19.

机构信息

Key Laboratory for Molecular Enzymology and Engineering of Ministry of Education, School of Life Sciences, Jilin University, 2699 Qianjin Street, Changchun 130012, China.

出版信息

Molecules. 2022 Jun 30;27(13):4210. doi: 10.3390/molecules27134210.

Abstract

COVID-19, a pandemic caused by the virus SARS-CoV-2, has spread globally, necessitating the search for antiviral compounds. Transmembrane protease serine 2 (TMPRSS2) is a cell surface protease that plays an essential role in SARS-CoV-2 infection. Therefore, researchers are searching for TMPRSS2 inhibitors that can be used for the treatment of COVID-19. As such, in this study, based on the crystal structure, we targeted the active site of TMPRSS2 for virtual screening of compounds in the FDA database. Then, we screened lumacaftor and ergotamine, which showed strong binding ability, using 100 ns molecular dynamics simulations to study the stability of the protein-ligand binding process, the flexibility of amino acid residues, and the formation of hydrogen bonds. Subsequently, we calculated the binding free energy of the protein-ligand complex by the MM-PBSA method. The results show that lumacaftor and ergotamine interact with residues around the TMPRSS2 active site, and reached equilibrium in the 100 ns molecular dynamics simulations. We think that lumacaftor and ergotamine, which we screened through in silico studies, can effectively inhibit the activity of TMPRSS2. Our findings provide a basis for subsequent in vitro experiments, having important implications for the development of effective anti-COVID-19 drugs.

摘要

新型冠状病毒肺炎(COVID-19)是由病毒 SARS-CoV-2 引起的全球大流行疾病,需要寻找抗病毒化合物。跨膜丝氨酸蛋白酶 2(TMPRSS2)是一种细胞表面蛋白酶,在 SARS-CoV-2 感染中起着至关重要的作用。因此,研究人员正在寻找可用于治疗 COVID-19 的 TMPRSS2 抑制剂。在这项研究中,我们基于晶体结构,针对 TMPRSS2 的活性部位,对 FDA 数据库中的化合物进行虚拟筛选。然后,我们使用 100ns 分子动力学模拟筛选出具有强结合能力的 lumacaftor 和麦角胺,以研究蛋白-配体结合过程的稳定性、氨基酸残基的柔性以及氢键的形成。随后,我们通过 MM-PBSA 方法计算蛋白-配体复合物的结合自由能。结果表明,lumacaftor 和麦角胺与 TMPRSS2 活性部位周围的残基相互作用,并在 100ns 分子动力学模拟中达到平衡。我们认为,通过计算机筛选出的 lumacaftor 和麦角胺可以有效抑制 TMPRSS2 的活性。我们的研究结果为后续的体外实验提供了依据,对开发有效的抗 COVID-19 药物具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dd9/9268035/6a82ef157dfd/molecules-27-04210-g001.jpg

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