• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

分子对接研究探索基孔肯雅病毒包膜糖蛋白的潜在结合口袋和抑制剂。

Molecular Docking Studies to Explore Potential Binding Pockets and Inhibitors for Chikungunya Virus Envelope Glycoproteins.

机构信息

School of Chemistry, University of Wollongong, Wollongong, 2522, Australia.

Faculty of Pharmacy, University of Medicine and Pharmacy at Hochiminh City, 41 Dinh Tien Hoang, District 1, Hochiminh, Vietnam.

出版信息

Interdiscip Sci. 2018 Sep;10(3):515-524. doi: 10.1007/s12539-016-0209-0. Epub 2017 Mar 11.

DOI:10.1007/s12539-016-0209-0
PMID:28283929
Abstract

The chikungunya virus (CHIKV) envelope glycoproteins are considered important potential targets for anti-CHIKV drug discovery due to their crucial roles in virus attachment and virus entry. In this study, using two available crystal structures of the immature and mature forms of envelope glycoproteins, virtual screenings based on blind dockings and focused dockings were carried out to identify potential binding pockets and hit compounds for the virus. The chemical library database of compounds, NCI Diversity Set II, was used in these docking studies. In addition to reproducing previously reported examples, new binding pockets were identified, e.g., Pocket 2 in the 3N40, and Pocket 2 and Pocket 3 in the 3N42. Convergences in conformational sampling in docking using AutoDock Vina were evaluated. An analysis of docking results was carried out to understand interactions of the envelope glycoproteins complexes. Some key residues for interactions, for example Gly91 and His230, are identified as possessing important roles in the fusion process.

摘要

基孔肯雅病毒(CHIKV)包膜糖蛋白被认为是抗 CHIKV 药物发现的重要潜在靶点,因为它们在病毒附着和病毒进入中起着至关重要的作用。在这项研究中,使用两种可用的包膜糖蛋白不成熟和成熟形式的晶体结构,进行了基于盲目对接和聚焦对接的虚拟筛选,以识别病毒的潜在结合口袋和命中化合物。在这些对接研究中使用了化合物的 NCI 多样性集 II 化学库数据库。除了重现先前报道的例子外,还确定了新的结合口袋,例如 3N40 中的口袋 2 和 3N42 中的口袋 2 和口袋 3。评估了使用 AutoDock Vina 进行对接时构象采样的收敛性。对对接结果进行了分析,以了解包膜糖蛋白复合物的相互作用。确定了一些关键的相互作用残基,例如 Gly91 和 His230,它们在融合过程中具有重要作用。

相似文献

1
Molecular Docking Studies to Explore Potential Binding Pockets and Inhibitors for Chikungunya Virus Envelope Glycoproteins.分子对接研究探索基孔肯雅病毒包膜糖蛋白的潜在结合口袋和抑制剂。
Interdiscip Sci. 2018 Sep;10(3):515-524. doi: 10.1007/s12539-016-0209-0. Epub 2017 Mar 11.
2
Structure based design towards the identification of novel binding sites and inhibitors for the chikungunya virus envelope proteins.基于结构的设计,旨在鉴定新型结合位点和抑制剂,用于治疗基孔肯雅热病毒包膜蛋白。
J Mol Graph Model. 2013 Jul;44:241-52. doi: 10.1016/j.jmgm.2013.07.001. Epub 2013 Jul 12.
3
Identification of chikungunya virus nsP2 protease inhibitors using structure-base approaches.利用基于结构的方法鉴定基孔肯雅病毒nsP2蛋白酶抑制剂。
J Mol Graph Model. 2015 Apr;57:1-8. doi: 10.1016/j.jmgm.2015.01.001. Epub 2015 Jan 12.
4
Discovery of in silico hits targeting the nsP3 macro domain of chikungunya virus.针对基孔肯雅病毒nsP3宏结构域的计算机虚拟筛选命中物的发现。
J Mol Model. 2014 May;20(5):2216. doi: 10.1007/s00894-014-2216-6. Epub 2014 Apr 23.
5
Discovery of a Potent and Selective Chikungunya Virus Envelope Protein Inhibitor through Computer-Aided Drug Design.通过计算机辅助药物设计发现有效的、选择性的基孔肯雅病毒包膜蛋白抑制剂。
ACS Infect Dis. 2021 Jun 11;7(6):1503-1518. doi: 10.1021/acsinfecdis.0c00915. Epub 2021 May 28.
6
Structure based virtual screening, 3D-QSAR, molecular dynamics and ADMET studies for selection of natural inhibitors against structural and non-structural targets of Chikungunya.基于结构的虚拟筛选、3D-QSAR、分子动力学和 ADMET 研究,以选择针对基孔肯雅热结构和非结构靶标的天然抑制剂。
J Biomol Struct Dyn. 2019 Aug;37(12):3150-3161. doi: 10.1080/07391102.2018.1509732. Epub 2018 Dec 28.
7
Discovery of novel multi-target indole-based derivatives as potent and selective inhibitors of chikungunya virus replication.发现新型基于吲哚的多靶点衍生物作为基孔肯雅病毒复制的有效和选择性抑制剂。
Bioorg Med Chem. 2017 Jan 1;25(1):327-337. doi: 10.1016/j.bmc.2016.10.037. Epub 2016 Oct 31.
8
Discovery of Potent Inhibitors for the Inhibition of Dengue Envelope Protein: An In Silico Approach.发现强效抑制剂抑制登革热包膜蛋白:一种计算机模拟方法。
Curr Top Med Chem. 2018;18(18):1585-1602. doi: 10.2174/1568026618666181025100736.
9
Structure-based drug design for envelope protein E2 uncovers a new class of bovine viral diarrhea inhibitors that block virus entry.基于结构的包膜蛋白 E2 药物设计揭示了一类新型牛病毒性腹泻病毒抑制剂,可阻断病毒进入。
Antiviral Res. 2018 Jan;149:179-190. doi: 10.1016/j.antiviral.2017.10.010. Epub 2017 Oct 12.
10
Conformational changes in Chikungunya virus E2 protein upon heparan sulfate receptor binding explain mechanism of E2-E1 dissociation during viral entry.在登革热病毒 E2 蛋白与硫酸乙酰肝素受体结合时构象发生变化,解释了病毒进入过程中 E2-E1 解离的机制。
Biosci Rep. 2019 Jun 28;39(6). doi: 10.1042/BSR20191077.

引用本文的文献

1
Interference of Polydatin/Resveratrol in the ACE2:Spike Recognition during COVID-19 Infection. A Focus on Their Potential Mechanism of Action through Computational and Biochemical Assays.虎杖苷/白藜芦醇在 COVID-19 感染期间对 ACE2:刺突识别的干扰。通过计算和生化分析研究其潜在作用机制的焦点。
Biomolecules. 2021 Jul 16;11(7):1048. doi: 10.3390/biom11071048.
2
In vitro and in vivo studies reveal α-Mangostin, a xanthonoid from Garcinia mangostana, as a promising natural antiviral compound against chikungunya virus.体外和体内研究表明,来自藤黄科藤黄属植物的一种紫檀芪,α-倒捻子素,是一种有前途的抗基孔肯雅病毒的天然抗病毒化合物。
Virol J. 2021 Feb 28;18(1):47. doi: 10.1186/s12985-021-01517-z.
3
Molecular dynamics simulation of docking structures of SARS-CoV-2 main protease and HIV protease inhibitors.
严重急性呼吸综合征冠状病毒2型主要蛋白酶与HIV蛋白酶抑制剂对接结构的分子动力学模拟
J Mol Struct. 2021 Feb 5;1225:129143. doi: 10.1016/j.molstruc.2020.129143. Epub 2020 Aug 23.
4
Docking-based virtual screening of TβR1 inhibitors: evaluation of pose prediction and scoring functions.基于对接的TβR1抑制剂虚拟筛选:构象预测与评分函数评估
BMC Chem. 2020 Aug 14;14(1):52. doi: 10.1186/s13065-020-00704-3. eCollection 2020 Dec.