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对三种药用植物中的植物化学物质进行计算筛选,以寻找作为跨膜蛋白酶丝氨酸2抑制剂的物质,该蛋白酶与SARS-CoV-2感染有关。

Computational screening of phytochemicals from three medicinal plants as inhibitors of transmembrane protease serine 2 implicated in SARS-CoV-2 infection.

作者信息

Oyedara Omotayo O, Agbedahunsi Joseph M, Adeyemi Folasade M, Juárez-Saldivar Alfredo, Fadare Olatomide A, Adetunji Charles O, Rivera Gildardo

机构信息

Department of Microbiology, Osun State University, Osogbo, Nigeria.

Departamento de Microbiología e Inmunología, Facultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Nuevo León, 66455, Mexico.

出版信息

Phytomed Plus. 2021 Nov;1(4):100135. doi: 10.1016/j.phyplu.2021.100135. Epub 2021 Sep 29.

Abstract

BACKGROUND

SARS-CoV-2 infection or COVID-19 is a major global public health issue that requires urgent attention in terms of drug development. Transmembrane Protease Serine 2 (TMPRSS2) is a good drug target against SARS-CoV-2 because of the role it plays during the viral entry into the cell. Virtual screening of phytochemicals as potential inhibitors of TMPRSS2 can lead to the discovery of drug candidates for the treatment of COVID-19.

PURPOSE

The study was designed to screen 132 phytochemicals from three medicinal plants traditionally used as antivirals; Roscoe (Zingiberaceae), L. (Asteraceae), and Lam. (Moringaceae), as potential inhibitors of TMPRSS2 for the purpose of finding therapeutic options to treat COVID-19.

METHODS

Homology model of TMPRSS2 was built using the ProMod3 3.1.1 program of the SWISS-MODEL. Binding affinities and interaction between compounds and TMPRSS2 model was examined using molecular docking and molecular dynamics simulation. The drug-likeness and ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of potential inhibitors of TMPRSS2 were also assessed using admetSAR web tool.

RESULTS

Three compounds, namely, niazirin, quercetin, and moringyne from demonstrated better molecular interactions with binding affinities ranging from -7.1 to -8.0 kcal/mol compared to -7.0 kcal/mol obtained for camostat mesylate (a known TMPRSS2 inhibitor), which served as a control. All the three compounds exhibited good drug-like properties by not violating the Lipinski rule of 5. Niazirin and moringyne possessed good ADMET properties and were stable in their interactions with the TMPRSS2 based on the molecular dynamics simulation. However, the ADMET tool predicted the potential hepatotoxic and mutagenic effects of quercetin.

CONCLUSION

This study demonstrated the potentials of niazirin, quercetin, and moringyne from , to inhibit the activities of human TMPRSS2, thus probably being good candidates for further development as new drugs for the treatment or management of COVID-19.

摘要

背景

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染或新冠肺炎是一个重大的全球公共卫生问题,在药物研发方面需要紧急关注。跨膜丝氨酸蛋白酶2(TMPRSS2)是对抗SARS-CoV-2的一个良好药物靶点,因为它在病毒进入细胞过程中发挥作用。对作为TMPRSS2潜在抑制剂的植物化学物质进行虚拟筛选,可能会发现治疗新冠肺炎的候选药物。

目的

本研究旨在从三种传统上用作抗病毒药物的药用植物中筛选132种植物化学物质;姜科的山姜属植物、菊科的土木香属植物和辣木科的辣木属植物,作为TMPRSS2的潜在抑制剂,以寻找治疗新冠肺炎的治疗方案。

方法

使用SWISS-MODEL的ProMod3 3.1.1程序构建TMPRSS2的同源模型。使用分子对接和分子动力学模拟检查化合物与TMPRSS2模型之间的结合亲和力和相互作用。还使用admetSAR网络工具评估TMPRSS2潜在抑制剂的类药性和ADMET(吸收、分布、代谢、排泄和毒性)特性。

结果

与用作对照的甲磺酸卡莫司他(一种已知的TMPRSS2抑制剂)获得的-7.0千卡/摩尔相比,来自山姜属植物的三种化合物,即尼亚齐林、槲皮素和辣木炔,表现出更好的分子相互作用,结合亲和力范围为-7.1至-8.0千卡/摩尔。所有这三种化合物都通过不违反Lipinski的五规则表现出良好的类药性质。尼亚齐林和辣木炔具有良好的ADMET性质,并且基于分子动力学模拟,它们与TMPRSS2的相互作用是稳定的。然而,ADMET工具预测了槲皮素的潜在肝毒性和致突变作用。

结论

本研究证明了来自山姜属植物的尼亚齐林、槲皮素和辣木炔具有抑制人TMPRSS2活性的潜力,因此可能是作为治疗或管理新冠肺炎的新药进一步开发的良好候选药物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/58e7/8479425/2634f9e3d838/ga1_lrg.jpg

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