核苷类似物对流感的重新利用。

IF 4.1 2区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Computational and structural biotechnology journal Pub Date : 2025-08-08 eCollection Date: 2025-01-01 DOI:10.1016/j.csbj.2025.08.006
Pitchayathida Mee-Udorn, Jaraspim Narkpuk, Peera Jaru-Ampornpan, Suradej Hongeng, Tanaporn Uengwetwanit, Nitipol Srimongkolpithak
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引用次数: 0

摘要

流感病毒仍然是一个全球性的健康问题,促使人们寻找新的抗病毒药物。药物再利用提供了一种有效的方法来识别潜在的治疗方法。这项研究重新利用了35种经fda批准的核苷类似物,对它们进行了抗H1N1流感的筛选。7种化合物表现出显著的抗病毒活性,胞苷类似物吉西他滨(IC₅₀= 0.64 ± 0.21 µM)和5-氮杂胞苷(IC₅₀= 3.42 ± 0.38 µM)显示出最强的抑制作用。分子动力学模拟表明,关键结合位点残基(Arg45、Lys229、Arg239、Lys308、Lys480)和一个镁离子对药物结合至关重要。活性类似物与特定残基(Arg239, Thr307, Asn310)之间的稳定氢键以及与RNA互补碱基的显著相互作用与抗病毒活性相关。这些发现提供了对聚合酶抑制的结构见解,并为未来的药物设计和耐药性发展监测提供了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Repurposing of the nucleoside analogs for influenza.

Influenza viruses remain a global health concern prompting the search for new antivirals. Drug repurposing offers an efficient approach to identify potential therapeutics. This study repurposed 35 FDA-approved nucleoside analogs, screening them against influenza H1N1. Seven compounds exhibited significant antiviral activity, with cytidine analogs Gemcitabine (IC₅₀ = 0.64 ± 0.21 µM) and 5-Azacytidine (IC₅₀ = 3.42 ± 0.38 µM) showing the strongest inhibition. Molecular dynamics simulations showed that key binding site residues (Arg45, Lys229, Arg239, Lys308, Lys480) and a magnesium ion are crucial for drug binding. Stable hydrogen bonds between active analogs and specific residues (Arg239, Thr307, Asn310), along with significant interactions with RNA complementary bases, are associated with antiviral activity. These findings offer structural insights into polymerase inhibition and provide a foundation for future drug design and monitoring of resistance development.

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来源期刊
Computational and structural biotechnology journal
Computational and structural biotechnology journal Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
9.30
自引率
3.30%
发文量
540
审稿时长
6 weeks
期刊介绍: Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology
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