羟基自由基诱导不同人工核苷酸的 C1′-H 抽离反应

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
N. R. Jena, P. K. Shukla
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引用次数: 0

摘要

背景最近,一些抗病毒药物,如莫仑吡韦(EIDD-1931)、法维吡韦、利巴韦林、索非布韦、加利地韦和雷米地韦被证明对COVID-19疾病有益。这些药物与病毒 RNA 单链结合,抑制病毒基因组的复制。同样,最近一些人工核苷酸(如 P、J、B、X、Z、V、S 和 K)也被认为是有效的抗病毒候选物质。然而,它们在活性最强的羟基(OH)自由基存在下的活性尚不清楚。在此,通过考虑上述分子(雷米替西韦除外)的核苷酸构象,详细研究了它们在羟基自由基诱导的 C1′-氢(H)抽取反应中发生 RNA 链断裂的可能性。研究结果与天然 RNA 核苷酸(G、C、A 和 U)进行了比较。由于低吉布斯无障碍能和高放热性,所有这些核苷酸(雷米替韦除外)都容易发生羟自由基诱导的 C1′-H 抽离反应。由于雷美替韦含有一个 C1′-CN 键,在 CN 和 C1′ 位点上发生的 OH 自由基取代反应很可能会释放出具有重要催化作用的 CN 基团,从而降低其活性。随后,在水介质中使用 ωB97X-D 色散校正密度泛函理论方法和 cc-PVTZ 基集进一步优化了这些复合物的结构。IEFPCM 方法用于建立水介质模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hydroxyl radical-induced C1′-H abstraction reaction of different artificial nucleotides

Hydroxyl radical-induced C1′-H abstraction reaction of different artificial nucleotides

Context

Recently, a few antiviral drugs viz Molnupiravir (EIDD-1931), Favipiravir, Ribavirin, Sofosbuvir, Galidesivir, and Remdesivir are shown to be beneficial against COVID-19 disease. These drugs bind to the viral RNA single strand to inhibit the virus genome replication. Similarly, recently, some artificial nucleotides, such as P, J, B, X, Z, V, S, and K were proposed to behave as potent antiviral candidates. However, their activity in the presence of the most reactive hydroxyl (OH) radical is not yet known. Here, the possibility of RNA strand break due to the OH radical-induced C1′-hydrogen (H) abstraction reaction of the above molecules (except Remdesivir) is studied in detail by considering their nucleotide conformation. The results are compared with those of the natural RNA nucleotides (G, C, A, and U). Due to low Gibbs barrier-free energy and high exothermicity, all these nucleotides (except Remdesivir) are prone to OH radical-induced C1′-H abstraction reaction. As Remdesivir contains a C1′-CN bond, the OH radical substitution reactions at the CN and C1′ sites would likely liberate the catalytically important CN group, thereby downgrading its activity.

Method

Initially, the B3LYP-D3 dispersion-corrected density functional theory method and 6–31 + G* basis set were used to optimize all reactant, transition state, and product complexes in the implicit aqueous medium. Subsequently, the structures of these complexes were further optimized by using the ωB97X-D dispersion-corrected density functional theory method and cc-PVTZ basis set in the aqueous medium. The IEFPCM method was used to model the aqueous medium.

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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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