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使用计算和体外方法对抗 SARS-CoV-2 变体的抗病毒活性。

Antiviral Activity Against SARS-CoV-2 Variants Using in Silico and in Vitro Approaches.

机构信息

Department of Biomedical Science and Engineering, Konkuk University, Seoul, 05029, Republic of Korea.

Department of Biological Sciences, Konkuk University, Seoul, 05029, Republic of Korea.

出版信息

J Microbiol. 2023 Jul;61(7):703-711. doi: 10.1007/s12275-023-00062-4. Epub 2023 Jun 26.

DOI:10.1007/s12275-023-00062-4
PMID:37358709
Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emergence in 2019 led to global health crises and the persistent risk of viral mutations. To combat SARS-CoV-2 variants, researchers have explored new approaches to identifying potential targets for coronaviruses. This study aimed to identify SARS-CoV-2 inhibitors using drug repurposing. In silico studies and network pharmacology were conducted to validate targets and coronavirus-associated diseases to select potential candidates, and in vitro assays were performed to evaluate the antiviral effects of the candidate drugs to elucidate the mechanisms of the viruses at the molecular level and determine the effective antiviral drugs for them. Plaque and cytopathic effect reduction were evaluated, and real-time quantitative reverse transcription was used to evaluate the antiviral activity of the candidate drugs against SARS-CoV-2 variants in vitro. Finally, a comparison was made between the molecular docking binding affinities of fenofibrate and remdesivir (positive control) to conventional and identified targets validated from protein-protein interaction (PPI). Seven candidate drugs were obtained based on the biological targets of the coronavirus, and potential targets were identified by constructing complex disease targets and PPI networks. Among the candidates, fenofibrate exhibited the strongest inhibition effect 1 h after Vero E6 cell infection with SARS-CoV-2 variants. This study identified potential targets for coronavirus disease (COVID-19) and SARS-CoV-2 and suggested fenofibrate as a potential therapy for COVID-19.

摘要

严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 于 2019 年出现,导致了全球卫生危机和病毒不断发生突变的持续风险。为了应对 SARS-CoV-2 变体,研究人员探索了识别冠状病毒潜在靶标的新方法。本研究旨在通过药物再利用来鉴定 SARS-CoV-2 抑制剂。进行了计算机模拟研究和网络药理学研究,以验证靶标和与冠状病毒相关的疾病,以选择潜在的候选药物,并进行体外测定来评估候选药物的抗病毒作用,以在分子水平上阐明病毒的机制,并确定有效的抗病毒药物。评估了噬斑和细胞病变效应减少,并使用实时定量逆转录聚合酶链反应评估候选药物对 SARS-CoV-2 变体的体外抗病毒活性。最后,比较了非诺贝特和瑞德西韦(阳性对照)与从蛋白质-蛋白质相互作用(PPI)中验证的常规和鉴定的靶标分子对接结合亲和力。基于冠状病毒的生物靶标获得了 7 种候选药物,并通过构建复杂疾病靶标和 PPI 网络来鉴定潜在靶标。在候选药物中,非诺贝特在感染 SARS-CoV-2 变体后 1 小时对 Vero E6 细胞显示出最强的抑制作用。本研究鉴定了冠状病毒病 (COVID-19) 和 SARS-CoV-2 的潜在靶标,并提出非诺贝特可能是 COVID-19 的一种潜在疗法。

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