Identification of Natural Terpenoid Compounds as Potential Inhibitors of Nucleoprotein of Influenza A Virus using in silico Approach: ADMET, Molecular Docking, and Molecular Dynamic Simulation.

IF 1.9 4区 医学 Q3 CHEMISTRY, MEDICINAL
Md Saddam Hossain, Md Mosahaq Ali, Prithbay Raj, Md Parvez Khondokar, S M Jahurul Haque, Yousef A Bin Jardan, Samir Ibenmoussa, Mohammed Bourhia
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Abstract

Background: We continue to struggle with the prevention and treatment of the influenza virus. The 2009 swine flu pandemic, caused by the H1N1 strain of influenza A, resulted in numerous fatalities. The threat of influenza remains a significant concern for global health, and the development of novel drugs targeting these viruses is highly desirable.

Objective: The objective of this study is to explore the inhibitory potential of terpenoid compounds against the Nucleoprotein (NP) of influenza A virus, which is a highly effective drug target due to its ability to facilitate the transcription and replication of viral RNA.

Method: In silico research was performed to identify potential inhibitors of NP. Molecular docking studies were conducted to assess the binding of terpenoid compounds to the active site residues of the target protein. The most promising hits were then subjected to molecular dynamics simulations to examine the stability of the protein-ligand complexes. Additionally, ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) studies and Lipinski's rule of five were employed to evaluate the drug safety and druglikeness of the compounds.

Result: Docking studies revealed that the terpenoid compounds bind strongly to the active site residues of the NP protein. Molecular dynamics simulations demonstrated the stability of the proteinligand complexes for the best-hit compounds. ADMET studies and Lipinski's filter indicated that the compounds exhibit desirable drug safety and drug-likeness profiles.

Conclusion: This work may contribute significantly to drug discovery and the development of therapeutic agents against the influenza A virus. The identification of terpenoid compounds that bind strongly to the NP protein and exhibit favorable drug-like properties through in silico studies provides a promising foundation for further research and the development of potential inhibitors targeting this critical viral protein.

利用计算机方法鉴定天然萜类化合物作为甲型流感病毒核蛋白的潜在抑制剂:ADMET、分子对接和分子动力学模拟。
背景:我们继续努力预防和治疗流感病毒。2009年由甲型H1N1流感毒株引起的猪流感大流行导致了许多人死亡。流感的威胁仍然是全球健康的一个重大问题,开发针对这些病毒的新药是非常可取的。目的:探讨萜类化合物对甲型流感病毒核蛋白(NP)的抑制潜力。甲型流感病毒核蛋白能够促进病毒RNA的转录和复制,是一种高效的药物靶点。方法:通过计算机研究确定NP的潜在抑制剂。进行分子对接研究以评估萜类化合物与靶蛋白活性位点残基的结合。然后对最有希望的命中进行分子动力学模拟,以检查蛋白质配体复合物的稳定性。此外,采用ADMET(吸收、分布、代谢、排泄和毒性)研究和Lipinski的五法则来评估化合物的药物安全性和药物相似性。结果:对接研究表明,萜类化合物与NP蛋白的活性位点残基结合强烈。分子动力学模拟证明了最佳击中化合物的蛋白质配体复合物的稳定性。ADMET研究和Lipinski的筛选表明,这些化合物具有理想的药物安全性和药物相似性。结论:本研究对甲型流感病毒药物的发现和治疗药物的开发具有重要意义。通过计算机研究鉴定出与NP蛋白紧密结合并表现出良好药物样特性的萜类化合物,为进一步研究和开发针对这一关键病毒蛋白的潜在抑制剂提供了有希望的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Medicinal Chemistry
Medicinal Chemistry 医学-医药化学
CiteScore
4.30
自引率
4.30%
发文量
109
审稿时长
12 months
期刊介绍: Aims & Scope Medicinal Chemistry a peer-reviewed journal, aims to cover all the latest outstanding developments in medicinal chemistry and rational drug design. The journal publishes original research, mini-review articles and guest edited thematic issues covering recent research and developments in the field. Articles are published rapidly by taking full advantage of Internet technology for both the submission and peer review of manuscripts. Medicinal Chemistry is an essential journal for all involved in drug design and discovery.
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