In silico drug repurposing of potential antiviral inhibitors targeting methyltransferase (2'-O-MTase) domain of Marburg virus.

In silico pharmacology Pub Date : 2025-04-24 eCollection Date: 2025-01-01 DOI:10.1007/s40203-025-00355-z
Arkajit De, Swagath Subramanian, Prateek Nayak, Kuntal Pal
{"title":"In silico drug repurposing of potential antiviral inhibitors targeting methyltransferase (2'-O-MTase) domain of Marburg virus.","authors":"Arkajit De, Swagath Subramanian, Prateek Nayak, Kuntal Pal","doi":"10.1007/s40203-025-00355-z","DOIUrl":null,"url":null,"abstract":"<p><p>Marburg Virus (MARV) presents a significant threat to human health, highlighting the urgent need for effective therapeutics. The MARV genome encodes a multifunctional 'large' L protein that plays a crucial role in polymerase, capping, and methyltransferase activities. Within this protein, the 2'-O-methyltransferase (2'-O-MTase) domain is essential for viral replication and immune evasion, making it a promising therapeutic target. However, the lack of structural data on this domain limits drug discovery efforts. To address this challenge, we utilized AlphaFold2 to predict a 3D structure of the MARV 2'-O-MTase domain. Molecular docking with its natural ligand, S-adenosyl methionine (SAM), allowed us to identify key active-site residues involved in ligand binding. We then screened 62 known inhibitors against this domain and identified four promising candidates: Lifirafenib (- 9.5 kcal/mol), Dolutegravir (- 8.5 kcal/mol), BRD3969 (- 8.3 kcal/mol), and JFD00244 (- 8.2 kcal/mol). Further, we assessed the pharmacokinetic and pharmacodynamic properties of these compounds to evaluate their drug-likeness. Molecular dynamics simulations, along with MM/GBSA free energy calculations, confirmed stable interactions between the selected inhibitors and the target domain. While these findings highlight promising candidates for MARV, experimental validation through in vitro and in vivo assays is essential to assess their safety and efficacy.</p><p><strong>Graphical abstract: </strong></p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40203-025-00355-z.</p>","PeriodicalId":94038,"journal":{"name":"In silico pharmacology","volume":"13 2","pages":"70"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12018677/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"In silico pharmacology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40203-025-00355-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Marburg Virus (MARV) presents a significant threat to human health, highlighting the urgent need for effective therapeutics. The MARV genome encodes a multifunctional 'large' L protein that plays a crucial role in polymerase, capping, and methyltransferase activities. Within this protein, the 2'-O-methyltransferase (2'-O-MTase) domain is essential for viral replication and immune evasion, making it a promising therapeutic target. However, the lack of structural data on this domain limits drug discovery efforts. To address this challenge, we utilized AlphaFold2 to predict a 3D structure of the MARV 2'-O-MTase domain. Molecular docking with its natural ligand, S-adenosyl methionine (SAM), allowed us to identify key active-site residues involved in ligand binding. We then screened 62 known inhibitors against this domain and identified four promising candidates: Lifirafenib (- 9.5 kcal/mol), Dolutegravir (- 8.5 kcal/mol), BRD3969 (- 8.3 kcal/mol), and JFD00244 (- 8.2 kcal/mol). Further, we assessed the pharmacokinetic and pharmacodynamic properties of these compounds to evaluate their drug-likeness. Molecular dynamics simulations, along with MM/GBSA free energy calculations, confirmed stable interactions between the selected inhibitors and the target domain. While these findings highlight promising candidates for MARV, experimental validation through in vitro and in vivo assays is essential to assess their safety and efficacy.

Graphical abstract:

Supplementary information: The online version contains supplementary material available at 10.1007/s40203-025-00355-z.

针对马尔堡病毒甲基转移酶(2′-O-MTase)结构域的潜在抗病毒抑制剂的药物再利用。
马尔堡病毒(MARV)对人类健康构成重大威胁,迫切需要有效的治疗方法。MARV基因组编码一种多功能“大”L蛋白,该蛋白在聚合酶、帽盖酶和甲基转移酶活性中起着至关重要的作用。在该蛋白中,2'- o -甲基转移酶(2'-O-MTase)结构域对病毒复制和免疫逃避至关重要,使其成为一个有希望的治疗靶点。然而,缺乏这一领域的结构数据限制了药物发现的努力。为了解决这一挑战,我们利用AlphaFold2来预测MARV 2'-O-MTase结构域的3D结构。与天然配体s -腺苷蛋氨酸(SAM)的分子对接,使我们能够确定参与配体结合的关键活性位点残基。然后,我们筛选了62种已知的针对该结构域的抑制剂,并确定了4种有希望的候选抑制剂:Lifirafenib (- 9.5 kcal/mol), Dolutegravir (- 8.5 kcal/mol), BRD3969 (- 8.3 kcal/mol)和JFD00244 (- 8.2 kcal/mol)。此外,我们评估了这些化合物的药代动力学和药效学特性,以评估它们的药物相似性。分子动力学模拟以及MM/GBSA自由能计算证实了所选抑制剂与目标结构域之间稳定的相互作用。虽然这些发现突出了MARV的有希望的候选药物,但通过体外和体内分析进行实验验证对于评估其安全性和有效性至关重要。图片摘要:补充资料:在线版本包含补充资料,地址为10.1007/s40203-025-00355-z。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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