• 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

基于模拟研究的新型 SARS-CoV-2 主要蛋白酶和宿主 TMPRSS2 抑制剂候选物——石蒜科生物活性生物碱小分子的研究

Investigation of bio-active Amaryllidaceae alkaloidal small molecules as putative SARS-CoV-2 main protease and host TMPRSS2 inhibitors: interpretation by simulation study.

机构信息

PDx Research Labs LLP, Kolkata, West Bengal, India.

Department of Chemistry, SRM Institute of Science and Technology, Kattankulathur, Potheri, India.

出版信息

J Biomol Struct Dyn. 2024 Sep;42(14):7107-7127. doi: 10.1080/07391102.2023.2238065. Epub 2023 Jul 24.

DOI:10.1080/07391102.2023.2238065
PMID:37482789
Abstract

The novel coronavirus disease 2019 (Covid-19) outburst is still threatening global health. This highly contagious viral disease is caused by the infection of SARS-CoV-2 virus. Covid-19 and post-Covid-19 complications induce noteworthy mortality. Potential chemical hits and leads against SARS-CoV-2 for combating Covid-19 are urgently required. In the present study, a virtual-screening protocol was executed on potential Amaryllidaceae alkaloids from a pool of natural compound library against SARS-CoV-2 main protease (M) and transmembrane serine protease (TMPRSS2). For the collected 1016 alkaloids from the curated library, initially, molecular docking using AutoDock Vina (ADV), and thereafter 100 ns molecular-dynamic (MD) simulation has been executed for the best top-ranked binding affinity compounds for both the viral and host proteins. Comprehensive intermolecular-binding interactions profile of Amaryllidaceae alkaloids suggested that phyto-compounds Galantamine, Lycorenine, and Neronine as potent modulators of SARS-CoV-2 M and host TMPRSS2 protein. All atomistic long range 100 ns MD simulation studies of each top ranked complex in triplicates also illustrated strong binding affinity of three compounds towards M and TMPRSS2. Identified compounds might be recommended as prospective anti-viral agents for future drug development selectively targeting the SARS-CoV-2 M or blocking host TMPRSS2 receptor, subjected to pre-clinical and clinical assessment for a better understanding of molecular interaction and validation.Communicated by Ramaswamy H. Sarma.

摘要

新型冠状病毒病 2019(Covid-19)爆发仍在威胁全球健康。这种高度传染性的病毒性疾病是由 SARS-CoV-2 病毒感染引起的。Covid-19 和 post-Covid-19 并发症导致显著的死亡率。迫切需要针对 SARS-CoV-2 的潜在化学药物靶点和先导化合物来对抗 Covid-19。在本研究中,针对 SARS-CoV-2 主蛋白酶(M)和跨膜丝氨酸蛋白酶(TMPRSS2),从天然化合物库中对潜在的石蒜科生物碱进行了虚拟筛选。从经过整理的库中收集到的 1016 种生物碱,首先使用 AutoDock Vina(ADV)进行分子对接,然后对最佳排名靠前的结合亲和力化合物进行 100 ns 分子动力学(MD)模拟。石蒜科生物碱的综合分子间结合相互作用谱表明,植物化合物加兰他敏、石蒜碱和去甲乌药碱是 SARS-CoV-2 M 和宿主 TMPRSS2 蛋白的有效调节剂。每个排名靠前的复合物的全原子长程 100 ns MD 模拟研究的三重复制也说明了这三种化合物对 M 和 TMPRSS2 的强结合亲和力。鉴定出的化合物可能被推荐为有前途的抗病毒药物,用于未来的药物开发,选择性针对 SARS-CoV-2 M 或阻断宿主 TMPRSS2 受体,需要进行临床前和临床评估,以更好地了解分子相互作用和验证。由 Ramaswamy H. Sarma 传达。

相似文献

1
Investigation of bio-active Amaryllidaceae alkaloidal small molecules as putative SARS-CoV-2 main protease and host TMPRSS2 inhibitors: interpretation by simulation study.基于模拟研究的新型 SARS-CoV-2 主要蛋白酶和宿主 TMPRSS2 抑制剂候选物——石蒜科生物活性生物碱小分子的研究
J Biomol Struct Dyn. 2024 Sep;42(14):7107-7127. doi: 10.1080/07391102.2023.2238065. Epub 2023 Jul 24.
2
Exploring epigenetic drugs as potential inhibitors of SARS-CoV-2 main protease: a docking and MD simulation study.探讨表观遗传药物作为 SARS-CoV-2 主蛋白酶潜在抑制剂的研究:对接和 MD 模拟研究。
J Biomol Struct Dyn. 2024 Aug;42(13):6892-6903. doi: 10.1080/07391102.2023.2236714. Epub 2023 Jul 17.
3
Structure-based identification of SARS-CoV-2 main protease inhibitors from anti-viral specific chemical libraries: an exhaustive computational screening approach.基于结构的抗 SARS-CoV-2 主蛋白酶抑制剂的抗病毒专用化学文库筛选:一种详尽的计算筛选方法。
Mol Divers. 2021 Aug;25(3):1979-1997. doi: 10.1007/s11030-021-10214-6. Epub 2021 Apr 12.
4
Iterated Virtual Screening-Assisted Antiviral and Enzyme Inhibition Assays Reveal the Discovery of Novel Promising Anti-SARS-CoV-2 with Dual Activity.迭代虚拟筛选辅助抗病毒和酶抑制检测揭示了具有双重活性的新型有希望的抗 SARS-CoV-2 药物的发现。
Int J Mol Sci. 2021 Aug 22;22(16):9057. doi: 10.3390/ijms22169057.
5
identification of D449-0032 compound as a putative SARS-CoV-2 M inhibitor.鉴定 D449-0032 化合物为潜在的 SARS-CoV-2 M 抑制剂。
J Biomol Struct Dyn. 2024 Aug;42(12):6440-6447. doi: 10.1080/07391102.2023.2234045. Epub 2023 Jul 9.
6
Searching possible SARS-CoV-2 main protease inhibitors in constituents from herbal medicines using studies.利用虚拟筛选方法从草药成分中寻找可能的 SARS-CoV-2 主蛋白酶抑制剂。
J Biomol Struct Dyn. 2024 May;42(8):4234-4248. doi: 10.1080/07391102.2023.2220040. Epub 2023 Jun 22.
7
Interaction of small molecules with the SARS-CoV-2 papain-like protease: In silico studies and in vitro validation of protease activity inhibition using an enzymatic inhibition assay.小分子与 SARS-CoV-2 木瓜蛋白酶样蛋白酶的相互作用:使用酶抑制测定法进行的体外验证和体外验证蛋白酶活性抑制的计算研究。
J Mol Graph Model. 2021 May;104:107851. doi: 10.1016/j.jmgm.2021.107851. Epub 2021 Jan 26.
8
In silico screening of potential inhibitors from Cordyceps species against SARS-CoV-2 main protease.从虫草属物种中筛选针对 SARS-CoV-2 主蛋白酶的潜在抑制剂的计算机筛选。
J Biomol Struct Dyn. 2024 Jun;42(9):4395-4411. doi: 10.1080/07391102.2023.2225110. Epub 2023 Jun 16.
9
In silico Study to Evaluate the Antiviral Activity of Novel Structures against 3C-like Protease of Novel Coronavirus (COVID-19) and SARS-CoV.计算机模拟研究评估新型冠状病毒(COVID-19)和 SARS-CoV 的 3C 样蛋白酶的新型结构的抗病毒活性。
Med Chem. 2021;17(4):380-395. doi: 10.2174/1573396316999200727125522.
10
Investigating the antiviral therapeutic potentialities of marine polycyclic lamellarin pyrrole alkaloids as promising inhibitors for SARS-CoV-2 and Zika main proteases (Mpro).研究海洋多环 lamellarin 吡咯烷酮生物碱作为 SARS-CoV-2 和寨卡病毒主要蛋白酶(Mpro)有潜力的抗病毒治疗药物。
J Biomol Struct Dyn. 2024 May;42(8):3983-4001. doi: 10.1080/07391102.2023.2217513. Epub 2023 May 26.

引用本文的文献

1
Identification of mycobacterial Thymidylate kinase inhibitors: a comprehensive pharmacophore, machine learning, molecular docking, and molecular dynamics simulation studies.鉴定分枝杆菌胸苷酸激酶抑制剂:全面的药效基团、机器学习、分子对接和分子动力学模拟研究。
Mol Divers. 2024 Aug;28(4):1947-1964. doi: 10.1007/s11030-024-10967-w. Epub 2024 Aug 16.
2
Identification of Mycobacterium tuberculosis transcriptional repressor EthR inhibitors: Shape-based search and machine learning studies.结核分枝杆菌转录阻遏物EthR抑制剂的鉴定:基于形状的搜索和机器学习研究。
Heliyon. 2024 Feb 22;10(5):e26802. doi: 10.1016/j.heliyon.2024.e26802. eCollection 2024 Mar 15.