Suppr超能文献

利用短杆菌肽 D 对 SARS-CoV-2 PL 的计算机模拟和体外抑制作用。

In Silico and In Vitro Inhibition of SARS-CoV-2 PL with Gramicidin D.

机构信息

University of Belgrade-Faculty of Chemistry, Studentski trg 12, 11000 Belgrade, Serbia.

University of Belgrade-Institute of Chemistry, Technology and Metallurgy, Njegoševa 12, 11000 Belgrade, Serbia.

出版信息

Int J Mol Sci. 2023 Jan 19;24(3):1955. doi: 10.3390/ijms24031955.

Abstract

Finding an effective drug to prevent or treat COVID-19 is of utmost importance in tcurrent pandemic. Since developing a new treatment takes a significant amount of time, drug repurposing can be an effective option for achieving a rapid response. This study used a combined in silico virtual screening protocol for candidate SARS-CoV-2 PL inhibitors. The Drugbank database was searched first, using the Informational Spectrum Method for Small Molecules, followed by molecular docking. Gramicidin D was selected as a peptide drug, showing the best in silico interaction profile with PL. After the expression and purification of PL, gramicidin D was screened for protease inhibition in vitro and was found to be active against PL. The current study's findings are significant because it is critical to identify COVID-19 therapies that are efficient, affordable, and have a favorable safety profile.

摘要

在当前的大流行中,寻找一种有效的药物来预防或治疗 COVID-19 至关重要。由于开发新的治疗方法需要大量时间,因此药物再利用可能是快速应对的有效选择。本研究使用了一种组合的计算机虚拟筛选方案,用于候选 SARS-CoV-2 PL 抑制剂。首先使用小分子信息谱方法搜索 Drugbank 数据库,然后进行分子对接。选择格兰地辛 D 作为一种肽类药物,与 PL 显示出最佳的计算机相互作用谱。在 PL 表达和纯化后,在体外筛选格兰地辛 D 对蛋白酶的抑制作用,发现其对 PL 具有活性。本研究的发现意义重大,因为确定 COVID-19 治疗方法的高效、经济实惠和良好的安全性至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3b/9915632/bb92c9d15703/ijms-24-01955-g001.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