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针对马尔堡病毒甲基转移酶(2'-O-甲基转移酶)结构域的潜在抗病毒抑制剂的计算机药物重新利用研究

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

作者信息

De Arkajit, Subramanian Swagath, Nayak Prateek, Pal Kuntal

机构信息

Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Barasat, Kolkata, West Bengal 700126 India.

Present Address: Department of Structural Biology, Van Andel Institute, Grand Rapids, MI 49503 USA.

出版信息

In Silico Pharmacol. 2025 Apr 24;13(2):70. doi: 10.1007/s40203-025-00355-z. eCollection 2025.

Abstract

UNLABELLED

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.

SUPPLEMENTARY INFORMATION

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

摘要

未标记

马尔堡病毒(MARV)对人类健康构成重大威胁,凸显了对有效治疗方法的迫切需求。马尔堡病毒基因组编码一种多功能的“大”L蛋白,该蛋白在聚合酶、加帽和甲基转移酶活性中起关键作用。在这种蛋白质中,2'-O-甲基转移酶(2'-O-MTase)结构域对于病毒复制和免疫逃逸至关重要,使其成为一个有前景的治疗靶点。然而,该结构域缺乏结构数据限制了药物研发工作。为应对这一挑战,我们利用AlphaFold2预测了马尔堡病毒2'-O-MTase结构域的三维结构。通过与天然配体S-腺苷甲硫氨酸(SAM)进行分子对接,我们确定了参与配体结合的关键活性位点残基。然后,我们针对该结构域筛选了62种已知抑制剂,确定了四种有前景的候选药物:Lifirafenib(-9.5千卡/摩尔)、多替拉韦(-8.5千卡/摩尔)、BRD3969(-8.3千卡/摩尔)和JFD00244(-8.2千卡/摩尔)。此外,我们评估了这些化合物的药代动力学和药效学性质,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的稳定相互作用。虽然这些发现突出了马尔堡病毒有前景的候选药物,但通过体外和体内试验进行实验验证对于评估它们的安全性和有效性至关重要。

补充信息

在线版本包含可在10.1007/s40203-025-00355-z获取的补充材料。

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