通过在细胞壁生物合成中靶向DprE1来破坏结核病的发病机制:结构动力学的观点。

IF 3.1 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Abdulwahab Alamri, Ahmed Alafnan, Weiam A. Hussein, Khaled Almansour, Alrafidi Rafidi Dhham, Amr S. Abouzied
{"title":"通过在细胞壁生物合成中靶向DprE1来破坏结核病的发病机制:结构动力学的观点。","authors":"Abdulwahab Alamri,&nbsp;Ahmed Alafnan,&nbsp;Weiam A. Hussein,&nbsp;Khaled Almansour,&nbsp;Alrafidi Rafidi Dhham,&nbsp;Amr S. Abouzied","doi":"10.1007/s10822-025-00626-z","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p><i>Mycobacterium tuberculosis</i> (Mtb), the causative agent of TB, remains a major global health challenge due to the emergence of MDR and XDR strains. Targeting DprE1, an enzyme essential in the biosynthesis of the mycobacterial cell wall, offers a promising therapeutic strategy. The current work utilized a computational pipeline for identifying potential inhibitors of DprE1 from the Diverse-lib database by virtual screening, molecular docking, molecular dynamics, free binding energy calculation, and free energy landscape analysis based on RMSD and Rg values. Three candidates were identified as promising inhibitors out of all the screened diverse-lib compounds. Their binding poses and interaction patterns were analyzed and compared with those of a known reference inhibitor. In molecular docking, three compounds showed high binding affinities, while MD simulations further showed stable protein-ligand complexes for more than 300 nsec in quadruplicate. Free binding energy calculation through MM/GBSA revealed energetically favorable interactions. From this RMSD-Rg-based free energy landscape, the stability in conformation was indicated in the complexes. Minima structures also strongly agreed with initial poses, evidenced by superimposition analysis. Comparison with the reference molecule revealed that the identified compounds exhibit comparable or higher binding energies and structural stability, suggesting their potential to inhibit DprE1. These findings warrant further experimental validation to confirm their efficacy against Mtb.</p>\n </div>","PeriodicalId":621,"journal":{"name":"Journal of Computer-Aided Molecular Design","volume":"39 1","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Disrupting tuberculosis pathogenesis by targeting DprE1 in cell wall biosynthesis: a structural dynamics perspective\",\"authors\":\"Abdulwahab Alamri,&nbsp;Ahmed Alafnan,&nbsp;Weiam A. Hussein,&nbsp;Khaled Almansour,&nbsp;Alrafidi Rafidi Dhham,&nbsp;Amr S. Abouzied\",\"doi\":\"10.1007/s10822-025-00626-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p><i>Mycobacterium tuberculosis</i> (Mtb), the causative agent of TB, remains a major global health challenge due to the emergence of MDR and XDR strains. Targeting DprE1, an enzyme essential in the biosynthesis of the mycobacterial cell wall, offers a promising therapeutic strategy. The current work utilized a computational pipeline for identifying potential inhibitors of DprE1 from the Diverse-lib database by virtual screening, molecular docking, molecular dynamics, free binding energy calculation, and free energy landscape analysis based on RMSD and Rg values. Three candidates were identified as promising inhibitors out of all the screened diverse-lib compounds. Their binding poses and interaction patterns were analyzed and compared with those of a known reference inhibitor. In molecular docking, three compounds showed high binding affinities, while MD simulations further showed stable protein-ligand complexes for more than 300 nsec in quadruplicate. Free binding energy calculation through MM/GBSA revealed energetically favorable interactions. From this RMSD-Rg-based free energy landscape, the stability in conformation was indicated in the complexes. Minima structures also strongly agreed with initial poses, evidenced by superimposition analysis. Comparison with the reference molecule revealed that the identified compounds exhibit comparable or higher binding energies and structural stability, suggesting their potential to inhibit DprE1. These findings warrant further experimental validation to confirm their efficacy against Mtb.</p>\\n </div>\",\"PeriodicalId\":621,\"journal\":{\"name\":\"Journal of Computer-Aided Molecular Design\",\"volume\":\"39 1\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computer-Aided Molecular Design\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10822-025-00626-z\",\"RegionNum\":3,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computer-Aided Molecular Design","FirstCategoryId":"99","ListUrlMain":"https://link.springer.com/article/10.1007/s10822-025-00626-z","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

由于耐多药和广泛耐药菌株的出现,结核病病原体结核分枝杆菌(Mtb)仍然是一个主要的全球卫生挑战。针对分枝杆菌细胞壁生物合成中必需的酶DprE1,提供了一种有希望的治疗策略。通过虚拟筛选、分子对接、分子动力学、自由结合能计算和基于RMSD和Rg值的自由能景观分析,利用计算管道从diversity -lib数据库中识别潜在的DprE1抑制剂。在所有筛选的多样化lib化合物中,有三个候选物被确定为有希望的抑制剂。分析了它们的结合姿态和相互作用模式,并与已知的参考抑制剂进行了比较。在分子对接中,三个化合物显示出高结合亲和力,而MD模拟进一步显示出稳定的蛋白质-配体复合物,在四次复制中超过300 nsec。通过MM/GBSA计算自由结合能揭示了能量有利相互作用。基于rmsd - rg的自由能图显示了配合物的构象稳定性。叠加分析也证明了最小构造与初始位姿高度一致。与参比分子的比较表明,所鉴定的化合物具有相当或更高的结合能和结构稳定性,表明它们具有抑制DprE1的潜力。这些发现值得进一步的实验验证,以确认它们对结核分枝杆菌的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disrupting tuberculosis pathogenesis by targeting DprE1 in cell wall biosynthesis: a structural dynamics perspective

Mycobacterium tuberculosis (Mtb), the causative agent of TB, remains a major global health challenge due to the emergence of MDR and XDR strains. Targeting DprE1, an enzyme essential in the biosynthesis of the mycobacterial cell wall, offers a promising therapeutic strategy. The current work utilized a computational pipeline for identifying potential inhibitors of DprE1 from the Diverse-lib database by virtual screening, molecular docking, molecular dynamics, free binding energy calculation, and free energy landscape analysis based on RMSD and Rg values. Three candidates were identified as promising inhibitors out of all the screened diverse-lib compounds. Their binding poses and interaction patterns were analyzed and compared with those of a known reference inhibitor. In molecular docking, three compounds showed high binding affinities, while MD simulations further showed stable protein-ligand complexes for more than 300 nsec in quadruplicate. Free binding energy calculation through MM/GBSA revealed energetically favorable interactions. From this RMSD-Rg-based free energy landscape, the stability in conformation was indicated in the complexes. Minima structures also strongly agreed with initial poses, evidenced by superimposition analysis. Comparison with the reference molecule revealed that the identified compounds exhibit comparable or higher binding energies and structural stability, suggesting their potential to inhibit DprE1. These findings warrant further experimental validation to confirm their efficacy against Mtb.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Computer-Aided Molecular Design
Journal of Computer-Aided Molecular Design 生物-计算机:跨学科应用
CiteScore
8.00
自引率
8.60%
发文量
56
审稿时长
3 months
期刊介绍: The Journal of Computer-Aided Molecular Design provides a form for disseminating information on both the theory and the application of computer-based methods in the analysis and design of molecules. The scope of the journal encompasses papers which report new and original research and applications in the following areas: - theoretical chemistry; - computational chemistry; - computer and molecular graphics; - molecular modeling; - protein engineering; - drug design; - expert systems; - general structure-property relationships; - molecular dynamics; - chemical database development and usage.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信