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通过分子对接研究 COVID-19 的抗病毒物质:计算机模拟研究。

Investigation of antiviral substances in Covid 19 by Molecular Docking: In Silico Study.

机构信息

Department of Biochemistry, Faculty of Pharmacy, Mersin University, Mersin, 33090, Türkey.

Vocational School of Health Services, Department of Electronics-Automation Biomedical Device Tecnology Program, Harran University, Sanlıurfa, 63090, Türkey.

出版信息

Afr Health Sci. 2023 Mar;23(1):23-36. doi: 10.4314/ahs.v23i1.4.

Abstract

AIMS

This paper aimed to investigate the antiviral drugs against Sars-Cov-2 main protease (MPro) using in silico methods.

MATERIAL AND METHOD

A search was made for antiviral drugs in the PubChem database and antiviral drugs such as Bictegravir, Emtricitabine, Entecavir, Lamivudine, Tenofovir, Favipiravir, Hydroxychloroquine, Lopinavir, Oseltamavir, Remdevisir, Ribavirin, Ritonavir were included in our study. The protein structure of Sars-Cov-2 Mpro (PDB ID: 6LU7) was taken from the Protein Data Bank (www.rcsb. Org) system and included in our study. Molecular docking was performed using AutoDock/Vina, a computational docking program. Protein-ligand interactions were performed with the AutoDock Vina program. 3D visualizations were made with the Discovery Studio 2020 program. N3 inhibitor method was used for our validation.

RESULTS

In the present study, bictegravir, remdevisir and lopinavir compounds in the Sars-Cov-2 Mpro structure showed higher binding affinity compared to the antiviral compounds N3 inhibitor, according to our molecular insertion results. However, the favipiravir, emtricitabine and lamuvidune compounds were detected very low binding affinity. Other antiviral compounds were found close binding affinity with the N3 inhibitor.

CONCLUSION

Bictegravir, remdevisir and lopinavir drugs showed very good results compared to the N3 inhibitor. Therefore, they could be inhibitory in the Sars Cov-2 Mpro target.

摘要

目的

本研究旨在通过计算机模拟方法研究针对 SARS-CoV-2 主蛋白酶(MPro)的抗病毒药物。

材料和方法

在 PubChem 数据库中搜索抗病毒药物,纳入本研究的抗病毒药物有比克替拉韦、恩曲他滨、恩替卡韦、拉米夫定、替诺福韦、法匹拉韦、羟氯喹、洛匹那韦、奥司他韦、瑞德西韦、利巴韦林、利托那韦。从蛋白质数据银行(www.rcsb.org)系统中获取 SARS-CoV-2 MPro(PDB ID:6LU7)的蛋白结构并纳入本研究。使用 AutoDock/Vina 计算机对接程序进行分子对接。利用 AutoDock Vina 程序进行蛋白-配体相互作用分析。使用 Discovery Studio 2020 程序进行 3D 可视化。采用 N3 抑制剂法进行验证。

结果

在本研究中,与抗病毒化合物 N3 抑制剂相比,比克替拉韦、瑞德西韦和洛匹那韦化合物在 SARS-CoV-2 MPro 结构中表现出更高的结合亲和力,根据我们的分子插入结果。然而,法匹拉韦、恩曲他滨和拉米夫定化合物的结合亲和力非常低。其他抗病毒化合物与 N3 抑制剂的结合亲和力接近。

结论

与 N3 抑制剂相比,比克替拉韦、瑞德西韦和洛匹那韦药物表现出非常好的结果。因此,它们可能在 SARS-CoV-2 MPro 靶标中具有抑制作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5707/10398506/8d0a9224ac6b/AFHS2301-0023Fig1.jpg

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