• 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

鉴定 SARS-CoV-2 主蛋白酶非共价抑制剂及其作用机制:一项计算机研究。

Identification of and Mechanistic Insights into SARS-CoV-2 Main Protease Non-Covalent Inhibitors: An In-Silico Study.

机构信息

State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, School of Life Sciences, Yunnan University, Kunming 650091, China.

Yunnan Key Laboratory of Stem Cell and Regenerative Medicine, Biomedical Engineering Research Center, Kunming Medical University, Kunming 650500, China.

出版信息

Int J Mol Sci. 2023 Feb 20;24(4):4237. doi: 10.3390/ijms24044237.

DOI:10.3390/ijms24044237
PMID:36835648
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9959744/
Abstract

The indispensable role of the SARS-CoV-2 main protease (Mpro) in the viral replication cycle and its dissimilarity to human proteases make Mpro a promising drug target. In order to identify the non-covalent Mpro inhibitors, we performed a comprehensive study using a combined computational strategy. We first screened the ZINC purchasable compound database using the pharmacophore model generated from the reference crystal structure of Mpro complexed with the inhibitor ML188. The hit compounds were then filtered by molecular docking and predicted parameters of drug-likeness and pharmacokinetics. The final molecular dynamics (MD) simulations identified three effective candidate inhibitors (ECIs) capable of maintaining binding within the substrate-binding cavity of Mpro. We further performed comparative analyses of the reference and effective complexes in terms of dynamics, thermodynamics, binding free energy (BFE), and interaction energies and modes. The results reveal that, when compared to the inter-molecular electrostatic forces/interactions, the inter-molecular van der Waals (vdW) forces/interactions are far more important in maintaining the association and determining the high affinity. Given the un-favorable effects of the inter-molecular electrostatic interactions-association destabilization by the competitive hydrogen bond (HB) interactions and the reduced binding affinity arising from the un-compensable increase in the electrostatic desolvation penalty-we suggest that enhancing the inter-molecular vdW interactions while avoiding introducing the deeply buried HBs may be a promising strategy in future inhibitor optimization.

摘要

在病毒复制周期中,严重急性呼吸综合征冠状病毒 2 主蛋白酶(Mpro)起着不可或缺的作用,其与人类蛋白酶的不同之处使其成为有前途的药物靶点。为了鉴定非共价 Mpro 抑制剂,我们使用综合计算策略进行了全面研究。我们首先使用从与抑制剂 ML188 复合的 Mpro 参考晶体结构生成的药效团模型筛选 ZINC 可购买化合物数据库。然后通过分子对接和药物相似性和药代动力学预测参数对命中化合物进行过滤。最后,分子动力学(MD)模拟确定了三种能够在 Mpro 的底物结合腔内保持结合的有效候选抑制剂(ECI)。我们进一步从动力学、热力学、结合自由能(BFE)和相互作用能和模式方面对参考和有效复合物进行了比较分析。结果表明,与分子间静电相互作用/相互作用相比,分子间范德华(vdW)相互作用/相互作用在维持结合和确定高亲和力方面更为重要。考虑到分子间静电相互作用-氢键(HB)相互作用的竞争导致的缔合稳定性降低,以及由于静电去溶剂化惩罚不可补偿而导致的结合亲和力降低的不利影响,我们建议增强分子间 vdW 相互作用,同时避免引入深埋的 HBs,可能是未来抑制剂优化的一种有前途的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/6aaa0200f94d/ijms-24-04237-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/50003acbe42f/ijms-24-04237-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/57c4f6caa364/ijms-24-04237-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/b1d71f9bd72a/ijms-24-04237-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/ecbf3aea8cc1/ijms-24-04237-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/57617fb24e6d/ijms-24-04237-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/298bad795272/ijms-24-04237-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/9649f2b99856/ijms-24-04237-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/6aaa0200f94d/ijms-24-04237-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/50003acbe42f/ijms-24-04237-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/57c4f6caa364/ijms-24-04237-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/b1d71f9bd72a/ijms-24-04237-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/ecbf3aea8cc1/ijms-24-04237-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/57617fb24e6d/ijms-24-04237-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/298bad795272/ijms-24-04237-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/9649f2b99856/ijms-24-04237-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8aa4/9959744/6aaa0200f94d/ijms-24-04237-g008.jpg

相似文献

1
Identification of and Mechanistic Insights into SARS-CoV-2 Main Protease Non-Covalent Inhibitors: An In-Silico Study.鉴定 SARS-CoV-2 主蛋白酶非共价抑制剂及其作用机制:一项计算机研究。
Int J Mol Sci. 2023 Feb 20;24(4):4237. doi: 10.3390/ijms24044237.
2
Identification of potential plant-based inhibitor against viral proteases of SARS-CoV-2 through molecular docking, MM-PBSA binding energy calculations and molecular dynamics simulation.通过分子对接、 MM-PBSA 结合能计算和分子动力学模拟鉴定潜在的植物源性 SARS-CoV-2 病毒蛋白酶抑制剂。
Mol Divers. 2021 Aug;25(3):1963-1977. doi: 10.1007/s11030-021-10211-9. Epub 2021 Apr 15.
3
Sterenin M as a potential inhibitor of SARS-CoV-2 main protease identified from MeFSAT database using molecular docking, molecular dynamics simulation and binding free energy calculation.从 MeFSAT 数据库中使用分子对接、分子动力学模拟和结合自由能计算鉴定出甾醇 N 作为 SARS-CoV-2 主蛋白酶的潜在抑制剂。
Comput Biol Med. 2021 Aug;135:104568. doi: 10.1016/j.compbiomed.2021.104568. Epub 2021 Jun 12.
4
Targeting SARS-CoV-2 main protease: structure based virtual screening, in silico ADMET studies and molecular dynamics simulation for identification of potential inhibitors.靶向 SARS-CoV-2 主蛋白酶:基于结构的虚拟筛选、计算机 ADMET 研究和分子动力学模拟,以鉴定潜在的抑制剂。
J Biomol Struct Dyn. 2022 May;40(8):3609-3625. doi: 10.1080/07391102.2020.1848636. Epub 2020 Nov 23.
5
Structure-based screening of novel lichen compounds against SARS Coronavirus main protease (Mpro) as potentials inhibitors of COVID-19.基于结构的新型地衣化合物筛选对 SARS 冠状病毒主蛋白酶(Mpro)作为 COVID-19 的潜在抑制剂。
Mol Divers. 2021 Aug;25(3):1665-1677. doi: 10.1007/s11030-020-10118-x. Epub 2020 Jun 29.
6
Using Chou's 5-steps rule to study pharmacophore-based virtual screening of SARS-CoV-2 Mpro inhibitors.运用邱氏五步法研究 SARS-CoV-2 Mpro 抑制剂基于药效团的虚拟筛选。
Mol Divers. 2021 Aug;25(3):1731-1744. doi: 10.1007/s11030-020-10148-5. Epub 2020 Oct 20.
7
Investigating the Inhibition of Diindolylmethane Derivatives on SARS-CoV-2 Main Protease.研究二吲哚甲烷衍生物对 SARS-CoV-2 主蛋白酶的抑制作用。
J Mol Recognit. 2024 Nov;37(6):e3101. doi: 10.1002/jmr.3101. Epub 2024 Sep 2.
8
Exploring potential SARS-CoV-2 Mpro non-covalent inhibitors through docking, pharmacophore profile matching, molecular dynamic simulation, and MM-GBSA.通过对接、药效团轮廓匹配、分子动力学模拟和 MM-GBSA 探索潜在的 SARS-CoV-2 Mpro 非共价抑制剂。
J Mol Model. 2023 Apr 13;29(5):138. doi: 10.1007/s00894-023-05534-3.
9
Cysteine focused covalent inhibitors against the main protease of SARS-CoV-2.针对 SARS-CoV-2 主蛋白酶的半胱氨酸靶向共价抑制剂。
J Biomol Struct Dyn. 2022 Mar;40(4):1639-1658. doi: 10.1080/07391102.2020.1831610. Epub 2020 Oct 13.
10
Identification of 1H-purine-2,6-dione derivative as a potential SARS-CoV-2 main protease inhibitor: molecular docking, dynamic simulations, and energy calculations.鉴定 1H-嘌呤-2,6-二酮衍生物为一种潜在的 SARS-CoV-2 主蛋白酶抑制剂:分子对接、动态模拟和能量计算。
PeerJ. 2022 Oct 7;10:e14120. doi: 10.7717/peerj.14120. eCollection 2022.

引用本文的文献

1
Coinfection of COVID-19 and malaria: clinical profiles, interactions, and strategies for effective control.新型冠状病毒肺炎与疟疾的合并感染:临床特征、相互作用及有效控制策略
Malar J. 2025 Mar 25;24(1):99. doi: 10.1186/s12936-025-05315-8.
2
Dissecting the Binding Affinity of Anti-SARS-CoV-2 Compounds to Human Transmembrane Protease, Serine 2: A Computational Study.剖析抗SARS-CoV-2化合物与人跨膜蛋白酶丝氨酸2的结合亲和力:一项计算研究
Int J Mol Sci. 2025 Jan 11;26(2):587. doi: 10.3390/ijms26020587.
3
Computational Insights into SARS-CoV-2 Main Protease Mutations and Nirmatrelvir Efficacy: The Effects of P132H and P132H-A173V.

本文引用的文献

1
In-Silico Lead Druggable Compounds Identification against SARS COVID-19 Main Protease Target from In-House, Chembridge and Zinc Databases by Structure-Based Virtual Screening, Molecular Docking and Molecular Dynamics Simulations.通过基于结构的虚拟筛选、分子对接和分子动力学模拟,从内部、Chembridge和Zinc数据库中识别针对SARS COVID-19主要蛋白酶靶点的计算机辅助先导可成药化合物。
Bioengineering (Basel). 2023 Jan 11;10(1):100. doi: 10.3390/bioengineering10010100.
2
In Silico Identification of New Anti-SARS-CoV-2 Main Protease (M) Molecules with Pharmacokinetic Properties from Natural Sources Using Molecular Dynamics (MD) Simulations and Hierarchical Virtual Screening.利用分子动力学(MD)模拟和分层虚拟筛选从天然来源中对具有药代动力学特性的新型抗SARS-CoV-2主要蛋白酶(M)分子进行计算机模拟鉴定。
J Trop Med. 2022 Oct 10;2022:3697498. doi: 10.1155/2022/3697498. eCollection 2022.
3
对 SARS-CoV-2 主蛋白酶突变和奈玛特韦疗效的计算洞察:P132H 和 P132H-A173V 的影响。
J Chem Inf Model. 2024 Jul 8;64(13):5207-5218. doi: 10.1021/acs.jcim.4c00334. Epub 2024 Jun 24.
4
Development of Fluorescence-Based Assays for Key Viral Proteins in the SARS-CoV-2 Infection Process and Lifecycle.用于严重急性呼吸综合征冠状病毒2(SARS-CoV-2)感染过程和生命周期中关键病毒蛋白的基于荧光的检测方法的开发。
Int J Mol Sci. 2024 Mar 1;25(5):2850. doi: 10.3390/ijms25052850.
Genetic Surveillance of SARS-CoV-2 M Reveals High Sequence and Structural Conservation Prior to the Introduction of Protease Inhibitor Paxlovid.SARS-CoV-2 M 基因监测显示,在引入蛋白酶抑制剂帕克洛维德之前,其序列和结构高度保守。
mBio. 2022 Aug 30;13(4):e0086922. doi: 10.1128/mbio.00869-22. Epub 2022 Jul 13.
4
BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection.BA.2.12.1、BA.4 和 BA.5 逃避奥密克戎感染诱导的抗体。
Nature. 2022 Aug;608(7923):593-602. doi: 10.1038/s41586-022-04980-y. Epub 2022 Jun 17.
5
Mechanistic Origin of Different Binding Affinities of SARS-CoV and SARS-CoV-2 Spike RBDs to Human ACE2.SARS-CoV 和 SARS-CoV-2 刺突 RBD 与人 ACE2 不同结合亲和力的机制起源。
Cells. 2022 Apr 9;11(8):1274. doi: 10.3390/cells11081274.
6
Structural biology of SARS-CoV-2: open the door for novel therapies.SARS-CoV-2 的结构生物学:为新型疗法开辟道路。
Signal Transduct Target Ther. 2022 Jan 27;7(1):26. doi: 10.1038/s41392-022-00884-5.
7
The emergence, genomic diversity and global spread of SARS-CoV-2.SARS-CoV-2 的出现、基因组多样性和全球传播。
Nature. 2021 Dec;600(7889):408-418. doi: 10.1038/s41586-021-04188-6. Epub 2021 Dec 8.
8
Selection of SARS-CoV-2 main protease inhibitor using structure-based virtual screening.基于结构的虚拟筛选筛选 SARS-CoV-2 主要蛋白酶抑制剂。
Future Med Chem. 2022 Jan;14(2):61-79. doi: 10.4155/fmc-2020-0380. Epub 2021 Nov 24.
9
Structural and Biochemical Analysis of the Dual Inhibition of MG-132 against SARS-CoV-2 Main Protease (Mpro/3CLpro) and Human Cathepsin-L.MG-132 对 SARS-CoV-2 主蛋白酶(Mpro/3CLpro)和人组织蛋白酶-L 的双重抑制作用的结构和生化分析。
Int J Mol Sci. 2021 Oct 29;22(21):11779. doi: 10.3390/ijms222111779.
10
Antiviral pills could change pandemic's course.抗病毒药丸可能会改变疫情的走向。
Science. 2021 Nov 12;374(6569):799-800. doi: 10.1126/science.acx9605. Epub 2021 Nov 11.