Suppr超能文献

动力学非平衡分子动力学模拟确定了与SARS-CoV-2主要蛋白酶耐药性相关的变构位点和位置。

Dynamical Nonequilibrium Molecular Dynamics Simulations Identify Allosteric Sites and Positions Associated with Drug Resistance in the SARS-CoV-2 Main Protease.

作者信息

Chan H T Henry, Oliveira A Sofia F, Schofield Christopher J, Mulholland Adrian J, Duarte Fernanda

机构信息

Chemistry Research Laboratory, Department of Chemistry and the Ineos Oxford Institute for Antimicrobial Research, University of Oxford, 12 Mansfield Road, Oxford OX1 3TA, UK.

Centre for Computational Chemistry, School of Chemistry, University of Bristol, Cantock's Close, Bristol BS8 1TS, UK.

出版信息

JACS Au. 2023 Jun 7;3(6):1767-1774. doi: 10.1021/jacsau.3c00185. eCollection 2023 Jun 26.

Abstract

The SARS-CoV-2 main protease (M) plays an essential role in the coronavirus lifecycle by catalyzing hydrolysis of the viral polyproteins at specific sites. M is the target of drugs, such as nirmatrelvir, though resistant mutants have emerged that threaten drug efficacy. Despite its importance, questions remain on the mechanism of how M binds its substrates. Here, we apply dynamical nonequilibrium molecular dynamics (D-NEMD) simulations to evaluate structural and dynamical responses of M to the presence and absence of a substrate. The results highlight communication between the M dimer subunits and identify networks, including some far from the active site, that link the active site with a known allosteric inhibition site, or which are associated with nirmatrelvir resistance. They imply that some mutations enable resistance by altering the allosteric behavior of M. More generally, the results show the utility of the D-NEMD technique for identifying functionally relevant allosteric sites and networks including those relevant to resistance.

摘要

严重急性呼吸综合征冠状病毒2型主要蛋白酶(M)通过催化病毒多蛋白在特定位点的水解,在冠状病毒生命周期中发挥着至关重要的作用。M是诸如奈玛特韦等药物的作用靶点,不过已经出现了耐药突变体,威胁到药物疗效。尽管其很重要,但关于M如何结合其底物的机制仍存在疑问。在此,我们应用动态非平衡分子动力学(D-NEMD)模拟来评估M在有底物和无底物情况下的结构和动力学响应。结果突出了M二聚体亚基之间的通信,并确定了一些网络,包括一些远离活性位点的网络,这些网络将活性位点与已知的变构抑制位点相连,或者与奈玛特韦耐药性相关。它们表明,一些突变通过改变M的变构行为而导致耐药性。更普遍地说,结果显示了D-NEMD技术在识别功能相关的变构位点和网络(包括那些与耐药性相关的位点和网络)方面的效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d21/10301676/18b53389552c/au3c00185_0002.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验