Suppr超能文献

基于靶点的药物发现、ADMET 分析以及抗生素作为严重急性呼吸综合征冠状病毒 2 型主要蛋白酶(M)潜在抑制剂的生物活性研究。

Target-based drug discovery, ADMET profiling and bioactivity studies of antibiotics as potential inhibitors of SARS-CoV-2 main protease (M).

作者信息

Abdul-Hammed Misbaudeen, Adedotun Ibrahim Olaide, Falade Victoria Adeola, Adepoju Adewusi John, Olasupo Sabitu Babatunde, Akinboade Modinat Wuraola

机构信息

Department of Pure and Applied Chemistry, Ladoke Akintola University of Technology, P.M.B. 4000, Ogbomoso, Nigeria.

National Agency for Food and Drug Administration and Control (NAFDAC), Abuja, Nigeria.

出版信息

Virusdisease. 2021 Dec;32(4):642-656. doi: 10.1007/s13337-021-00717-z. Epub 2021 Jul 1.

Abstract

A recent outbreak of a new strain of Coronavirus (SARS-CoV-2) has become a global health burden, which has resulted in deaths. No proven drug has been found to effectively cure this fast-spreading infection, hence the need to explore old drugs with the known profile in tackling this pandemic. A computer-aided drug design approach involving virtual screening was used to obtain the binding scores and inhibiting efficiencies of previously known antibiotics against SARS-CoV-2 main protease (M). The drug-likeness analysis of the repurposed drugs were done using the Molinspiration chemoinformatics tool, while the Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) analysis was carried out using ADMET SAR-2 webserver. Other analyses performed include bioactivities of the repurposed drug as a probable anti-SARS-CoV-2 agent and oral bioavailability analyses among others. The results were compared with those of drugs currently involved in clinical trials in the ongoing pandemic. Although antibiotics have been speculated to be of no use in the treatment of viral infections, literature has emerged lately to reveal the antiviral potential and immune-boosting ability of antibiotics. This study identified Tarivid and Ciprofloxacin with binding affinities of - 8.3 kcal/mol and - 8.1 kcal/mol, respectively as significant inhibitors of SARS-CoV-2 (M) with better pharmacokinetics, drug-likeness and oral bioavailability, bioactivity properties, ADMET properties and inhibitory strength compared to Remdesivir (- 7.6 kcal/mol) and Azithromycin (- 6.3 kcal/mol). These observations will provide insight for further research (clinical trial) in the cure and management of COVID-19.

摘要

最近一种新型冠状病毒(SARS-CoV-2)的爆发已成为全球健康负担,并导致了死亡。尚未发现经证实能有效治愈这种快速传播感染的药物,因此有必要探索具有已知特性的旧药来应对这一疫情。采用了一种涉及虚拟筛选的计算机辅助药物设计方法,以获得先前已知抗生素对SARS-CoV-2主要蛋白酶(M)的结合分数和抑制效率。使用Molinspiration化学信息学工具对重新利用药物进行类药性分析,同时使用ADMET SAR-2网络服务器进行吸收、分布、代谢、排泄和毒性(ADMET)分析。进行的其他分析包括重新利用药物作为可能的抗SARS-CoV-2药物的生物活性以及口服生物利用度分析等。将结果与当前正在进行的疫情临床试验中涉及的药物结果进行了比较。尽管抗生素一直被推测对治疗病毒感染无用,但最近有文献揭示了抗生素的抗病毒潜力和免疫增强能力。本研究确定了他利维德和环丙沙星,其结合亲和力分别为-8.3千卡/摩尔和-8.1千卡/摩尔,是SARS-CoV-2(M)的重要抑制剂,与瑞德西韦(-7.6千卡/摩尔)和阿奇霉素(-6.3千卡/摩尔)相比,具有更好的药代动力学性质、类药性、口服生物利用度、生物活性性质、ADMET性质和抑制强度。这些观察结果将为进一步研究(临床试验)治疗和管理COVID-19提供见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e01/8630328/e330f1d321c1/13337_2021_717_Fig1_HTML.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