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埃博拉病毒干扰素拮抗剂——从蛋白相互作用角度对抗发病机制

Ebolavirus interferon antagonists-protein interaction perspectives to combat pathogenesis.

机构信息

Advanced Technology Development Centre, IIT Kharagpur, India.

Department of Computer Science and Engineering, IIT Kharagpur, India.

出版信息

Brief Funct Genomics. 2018 Nov 26;17(6):392-401. doi: 10.1093/bfgp/elx034.

Abstract

Zaire ebolavirus, one of the most pathogenic species of Ebolavirus, is a significant threat to the human community being both highly infectious and lethal. The viral proteins (VPs), specifically VP24 and VP35, antagonize the interferon (IFN) proteins accountable for human immune response. Several efforts have been made to design vaccines and therapeutics drugs. However, the success is not encouraging because of limited knowledge about the binding site information of the VPs. Such limitations stem largely from the highly infectious nature of the virus that requires specialized personnel and biosafety laboratories. As an alternative, computational techniques have also been adopted to improve the success rate of drug discovery. This article elaborates on the interactions between viral and human IFN proteins that lead to IFN antagonism. A computational framework is proposed after evaluating existing computational studies. This protein interaction and protein design-based computational framework identified critical interacting residues of the VP (VP24) responsible for the formation of a stable complex with the human KPNA5 (karyopherin alpha proteins 5). The mutations of those critical residues, as demonstrated in this article, affected the overall stability of the complex because of a sharp decrease in both the number of hydrogen bonds and possible charge-charge interactions. Therefore, we proposed that the framework could be an effective alternative to experimental work for destabilizing interactions between the VPs and human proteins responsible for IFN induction and response.

摘要

扎伊尔埃博拉病毒是埃博拉病毒中最具致病性的物种之一,它具有高度传染性和致命性,对人类社会构成了重大威胁。病毒蛋白(VPs),特别是 VP24 和 VP35,拮抗负责人体免疫反应的干扰素(IFN)蛋白。已经做出了一些努力来设计疫苗和治疗药物。然而,由于对 VPs 的结合位点信息了解有限,成功并不令人鼓舞。这种局限性在很大程度上源于病毒的高度传染性,这需要专门的人员和生物安全实验室。作为替代方案,计算技术也已被采用以提高药物发现的成功率。本文阐述了导致 IFN 拮抗的病毒和人 IFN 蛋白之间的相互作用。在评估了现有计算研究之后,提出了一个计算框架。基于蛋白质相互作用和蛋白质设计的计算框架确定了 VP(VP24)负责与人类 KPNA5(核孔蛋白 α 家族 5)形成稳定复合物的关键相互作用残基。本文中的实验表明,这些关键残基的突变会影响复合物的整体稳定性,因为氢键和可能的电荷-电荷相互作用的数量都急剧减少。因此,我们提出该框架可以作为实验工作的有效替代方案,用于破坏 VPs 与负责 IFN 诱导和反应的人类蛋白之间的相互作用。

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