• 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

铜绿假单胞菌PqsA酶先导化合物的计算机模拟鉴定:阻断生物膜形成的计算研究

In Silico Identification of Lead Compounds for Pseudomonas Aeruginosa PqsA Enzyme: Computational Study to Block Biofilm Formation.

作者信息

Shahab Muhammad, Danial Muhammad, Khan Taimur, Liang Chaoqun, Duan Xiuyuan, Wang Daixi, Gao Hanzi, Zheng Guojun

机构信息

State Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Shenzhen Institute of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China.

出版信息

Biomedicines. 2023 Mar 21;11(3):961. doi: 10.3390/biomedicines11030961.

DOI:10.3390/biomedicines11030961
PMID:36979940
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10046026/
Abstract

is an opportunistic Gram-negative bacterium implicated in acute and chronic nosocomial infections and a leading cause of patient mortality. infections are frequently associated with the development of biofilms, which give the bacteria additional drug resistance and increase their virulence. The goal of this study was to find strong compounds that block the Anthranilate-CoA ligase enzyme made by the pqsA gene. This would stop the quorum signaling system. This enzyme plays a crucial role in the pathogenicity of by producing autoinducers for cell-to-cell communication that lead to the production of biofilms. Pharmacophore-based virtual screening was carried out utilizing a library of commercially accessible enzyme inhibitors. The most promising hits obtained during virtual screening were put through molecular docking with the help of MOE. The virtual screening yielded 7/160 and 10/249 hits (ZINC and Chembridge). Finally, 2/7 ZINC hits and 2/10 ChemBridge hits were selected as potent lead compounds employing diverse scaffolds due to their high pqsA enzyme binding affinity. The results of the pharmacophore-based virtual screening were subsequently verified using a molecular dynamic simulation-based study (MDS). Using MDS and post-MDS, the stability of the complexes was evaluated. The most promising lead compounds exhibited a high binding affinity towards protein-binding pocket and interacted with the catalytic dyad. At least one of the scaffolds selected will possibly prove useful for future research. However, further scientific confirmation in the form of preclinical and clinical research is required before implementation.

摘要

是一种机会性革兰氏阴性菌,与急性和慢性医院感染有关,是患者死亡的主要原因。感染常常与生物膜的形成相关,生物膜赋予细菌额外的耐药性并增加其毒力。本研究的目的是找到能够阻断由pqsA基因产生的邻氨基苯甲酸 - CoA连接酶的强效化合物。这将阻断群体感应信号系统。该酶通过产生用于细胞间通讯的自诱导物,在生物膜的产生中发挥关键作用,从而在的致病性中起关键作用。利用可商购的酶抑制剂库进行基于药效团的虚拟筛选。在虚拟筛选过程中获得的最有前景的命中物在MOE的帮助下进行分子对接。虚拟筛选产生了7/160和10/249个命中物(ZINC和Chembridge)。最后,由于其对pqsA酶的高结合亲和力,2/7个ZINC命中物和2/10个ChemBridge命中物被选为采用不同支架的强效先导化合物。基于药效团的虚拟筛选结果随后使用基于分子动力学模拟的研究(MDS)进行验证。使用MDS和MDS后,评估复合物的稳定性。最有前景的先导化合物对蛋白质结合口袋表现出高结合亲和力,并与催化二元组相互作用。所选的至少一种支架可能对未来的研究有用。然而,在实施之前需要以临床前和临床研究的形式进行进一步的科学确认。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/2f3ad73a76cc/biomedicines-11-00961-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/ee93191e5976/biomedicines-11-00961-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/c558c58a1625/biomedicines-11-00961-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/ad7b7064448b/biomedicines-11-00961-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/91442cd49b39/biomedicines-11-00961-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/a28c146ffe1b/biomedicines-11-00961-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/5af4a6bfe87f/biomedicines-11-00961-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/9b64cb213d43/biomedicines-11-00961-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/0689ae04436a/biomedicines-11-00961-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/cc6e6d6936e5/biomedicines-11-00961-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/02381a27c247/biomedicines-11-00961-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/2f3ad73a76cc/biomedicines-11-00961-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/ee93191e5976/biomedicines-11-00961-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/c558c58a1625/biomedicines-11-00961-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/ad7b7064448b/biomedicines-11-00961-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/91442cd49b39/biomedicines-11-00961-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/a28c146ffe1b/biomedicines-11-00961-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/5af4a6bfe87f/biomedicines-11-00961-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/9b64cb213d43/biomedicines-11-00961-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/0689ae04436a/biomedicines-11-00961-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/cc6e6d6936e5/biomedicines-11-00961-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/02381a27c247/biomedicines-11-00961-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/67b0/10046026/2f3ad73a76cc/biomedicines-11-00961-g011.jpg

相似文献

1
In Silico Identification of Lead Compounds for Pseudomonas Aeruginosa PqsA Enzyme: Computational Study to Block Biofilm Formation.铜绿假单胞菌PqsA酶先导化合物的计算机模拟鉴定:阻断生物膜形成的计算研究
Biomedicines. 2023 Mar 21;11(3):961. doi: 10.3390/biomedicines11030961.
2
Rational Drug Design for PqsA Enzyme: An Guided Study to Block Biofilm Formation.针对PqsA酶的合理药物设计:一项阻止生物膜形成的指导性研究。
Front Mol Biosci. 2020 Oct 15;7:577316. doi: 10.3389/fmolb.2020.577316. eCollection 2020.
3
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.
4
A Small-Molecule Inhibitor of the Anthranilyl-CoA Synthetase PqsA for the Treatment of Multidrug-Resistant Pseudomonas aeruginosa.一种小分子抑制剂的 Anthranilyl-CoA 合成酶 PqsA 用于治疗多重耐药铜绿假单胞菌。
Microbiol Spectr. 2022 Aug 31;10(4):e0276421. doi: 10.1128/spectrum.02764-21. Epub 2022 Jul 20.
5
Virtual Screening of FDA-Approved Drugs against LasR of for Antibiofilm Potential.针对 LasR 的 FDA 批准药物的虚拟筛选,评估其抗生物膜潜力。
Molecules. 2020 Aug 15;25(16):3723. doi: 10.3390/molecules25163723.
6
Structure based virtual screening and molecular dynamics of natural anti-biofilm compounds against SagS response regulator/sensor kinase in .基于结构的虚拟筛选和天然抗生物膜化合物对 SagS 反应调节剂/传感器激酶的分子动力学研究。
J Biomol Struct Dyn. 2023 Aug-Sep;41(13):6011-6026. doi: 10.1080/07391102.2022.2100482. Epub 2022 Jul 22.
7
Pseudomonas aeruginosa PqsA is an anthranilate-coenzyme A ligase.铜绿假单胞菌PqsA是一种邻氨基苯甲酸辅酶A连接酶。
J Bacteriol. 2008 Feb;190(4):1247-55. doi: 10.1128/JB.01140-07. Epub 2007 Dec 14.
8
Response regulator GacA and transcriptional activator RhlR proteins involved in biofilm formation of Pseudomonas aeruginosa are prospective targets for natural lead molecules: Computational modelling, molecular docking and dynamic simulation studies.参与铜绿假单胞菌生物膜形成的反应调节蛋白 GacA 和转录激活蛋白 RhlR 是天然铅分子的潜在靶点:计算建模、分子对接和动态模拟研究。
Infect Genet Evol. 2020 Nov;85:104448. doi: 10.1016/j.meegid.2020.104448. Epub 2020 Jul 1.
9
Combined machine learning and pharmacophore based virtual screening approaches to screen for antibiofilm inhibitors targeting LasR of .基于机器学习和药效团的虚拟筛选方法联合筛选针对 LasR 的抗生物膜抑制剂。
J Biomol Struct Dyn. 2023 Jun;41(9):4124-4142. doi: 10.1080/07391102.2022.2064331. Epub 2022 Apr 22.
10
Baicalin inhibits biofilm formation, attenuates the quorum sensing-controlled virulence and enhances Pseudomonas aeruginosa clearance in a mouse peritoneal implant infection model.黄芩苷在小鼠腹腔植入感染模型中抑制生物膜形成,减弱群体感应控制的毒力并增强铜绿假单胞菌清除能力。
PLoS One. 2017 Apr 28;12(4):e0176883. doi: 10.1371/journal.pone.0176883. eCollection 2017.

引用本文的文献

1
Development of a broad-spectrum epitope-based vaccine against Streptococcus pneumoniae.一种针对肺炎链球菌的基于广谱表位的疫苗的研发。
PLoS One. 2025 Jan 16;20(1):e0317216. doi: 10.1371/journal.pone.0317216. eCollection 2025.
2
Structure based virtual screening and molecular simulation study of FDA-approved drugs to inhibit human HDAC6 and VISTA as dual cancer immunotherapy.基于结构的虚拟筛选和分子模拟研究 FDA 批准的药物抑制人 HDAC6 和 VISTA 作为双重癌症免疫疗法。
Sci Rep. 2023 Sep 2;13(1):14466. doi: 10.1038/s41598-023-41325-9.
3
Machine Learning-Based Virtual Screening and Molecular Simulation Approaches Identified Novel Potential Inhibitors for Cancer Therapy.

本文引用的文献

1
The transcriptional regulators of virulence for : Therapeutic opportunity and preventive potential of its clinical infections.毒力的转录调节因子:其临床感染的治疗机遇与预防潜力
Genes Dis. 2022 Oct 1;10(5):2049-2063. doi: 10.1016/j.gendis.2022.09.009. eCollection 2023 Sep.
2
A Guide to the Continuous Constant pH Molecular Dynamics Methods in Amber and CHARMM [Article v1.0].Amber和CHARMM中连续恒定pH分子动力学方法指南[文章v1.0]
Living J Comput Mol Sci. 2022;4(1). doi: 10.33011/livecoms.4.1.1563. Epub 2022 Aug 22.
3
GPU-Accelerated All-Atom Particle-Mesh Ewald Continuous Constant pH Molecular Dynamics in Amber.
基于机器学习的虚拟筛选和分子模拟方法鉴定出用于癌症治疗的新型潜在抑制剂。
Biomedicines. 2023 Aug 11;11(8):2251. doi: 10.3390/biomedicines11082251.
GPU 加速全原子粒子网格 Ewald 连续常数 pH 分子动力学在 Amber 中。
J Chem Theory Comput. 2022 Dec 13;18(12):7510-7527. doi: 10.1021/acs.jctc.2c00586. Epub 2022 Nov 15.
4
How Ethanolic Disinfectants Disintegrate Coronavirus Model Membranes: A Dissipative Particle Dynamics Simulation Study.含醇消毒剂破坏冠状病毒模型膜的机制:耗散粒子动力学模拟研究。
J Chem Theory Comput. 2022 Apr 12;18(4):2597-2615. doi: 10.1021/acs.jctc.1c01120. Epub 2022 Mar 14.
5
Pseudomonas aeruginosa: an antibiotic resilient pathogen with environmental origin.铜绿假单胞菌:一种具有环境起源的抗生素耐药病原体。
Curr Opin Microbiol. 2021 Dec;64:125-132. doi: 10.1016/j.mib.2021.09.010. Epub 2021 Oct 26.
6
Exploring the interaction mechanism between potential inhibitor and multi-target Mur enzymes of mycobacterium tuberculosis using molecular docking, molecular dynamics simulation, principal component analysis, free energy landscape, dynamic cross-correlation matrices, vector movements, and binding free energy calculation.使用分子对接、分子动力学模拟、主成分分析、自由能景观、动态互相关矩阵、向量运动和结合自由能计算,探索潜在抑制剂与结核分枝杆菌多靶点 Mur 酶之间的相互作用机制。
J Biomol Struct Dyn. 2022;40(24):13497-13526. doi: 10.1080/07391102.2021.1989040. Epub 2021 Oct 18.
7
In Silico Mutagenesis-Based Remodelling of SARS-CoV-1 Peptide (ATLQAIAS) to Inhibit SARS-CoV-2: Structural-Dynamics and Free Energy Calculations.基于 SARS-CoV-1 肽(ATLQAIAS)的计算机诱变改造以抑制 SARS-CoV-2:结构动力学和自由能计算。
Interdiscip Sci. 2021 Sep;13(3):521-534. doi: 10.1007/s12539-021-00447-2. Epub 2021 Jul 29.
8
Microbial biofilm: A matter of grave concern for human health and food industry.微生物生物膜:人类健康和食品工业的严重关切问题。
J Basic Microbiol. 2021 May;61(5):380-395. doi: 10.1002/jobm.202000678. Epub 2021 Feb 22.
9
Small Molecule Inhibitors of Middle East Respiratory Syndrome Coronavirus Fusion by Targeting Cavities on Heptad Repeat Trimers.通过靶向七聚体重复三聚体上的腔来抑制中东呼吸综合征冠状病毒融合的小分子抑制剂
Biomol Ther (Seoul). 2020 Jul 1;28(4):311-319. doi: 10.4062/biomolther.2019.202.
10
In-silico design of peptide inhibitors of K-Ras target in cancer disease.癌症中 K-Ras 靶标的肽抑制剂的计算机设计。
J Biomol Struct Dyn. 2020 Nov;38(18):5488-5499. doi: 10.1080/07391102.2019.1704880. Epub 2019 Dec 23.