鉴定抑制 Ca2+ 流入 DDX3X 活性的天然抗菌肽模拟物,以阻断登革热病毒的感染性

IF 2.9 4区 生物学 Q2 BIOPHYSICS Journal of Bioenergetics and Biomembranes Pub Date : 2023-12-14 DOI:10.1007/s10863-023-09996-1
Amer H. Asseri, Md Rashedul Islam, Reem M. Alghamdi, Hisham N. Altayb
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引用次数: 0

摘要

病毒是一种微小的生物实体,可以在生物体内迅速入侵和繁殖。每年有超过 36,000 人死于登革热病毒(DENV),近 4 亿人受到感染。尽管登革热是一种地方性疾病,但目前还没有针对登革热病毒的靶向有效抗病毒肽资源。抗病毒肽(AVPs)已显示出对抗不同病毒的巨大能力。加快抗病毒药物的发现至关重要,尤其是针对 RNA 病毒。DDX3X 是一种重要的细胞成分,支持病毒翻译并与 TRPV4 相互作用,调节病毒 RNA 代谢和感染性。其多样的信号通路使其成为潜在的治疗靶点。我们的研究重点是通过阻断靶基因和 TRPV4 介导的 Ca2+ 阳离子通道的活性来抑制病毒 RNA 翻译。我们首先从骆驼奶中提取了六种主要蛋白质,并用胃蛋白酶将其分离。然后使用在线生物信息学程序(包括 AVPpred、Meta-iAVP、AMPfun 和 ENNAVIA)分析其抗病毒特性。利用 MD 模拟、MM/GBSA 和主成分分析评估了复合物的稳定性。使用 COPid 和 ToxinPred 进行了细胞毒性评估。根据最佳得分确定的前十个 AVPs 被选中并保存起来,以便使用 GalaxyPepDock 工具进行对接研究。生物信息学分析表明,这些肽在目标蛋白质活性位点附近的氢键距离很短(1.8 至 3.6 Å)。约 76% 的多肽残基长度为 5-11 个氨基酸。此外,鉴定出的候选肽具有潜在治疗药物的理想特性,包括净正电荷、中等毒性、亲水性和选择性。总之,这项计算研究为发现基于多肽的抗 DENV 治疗药物提供了很有前景的见解。
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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Identification of natural antimicrobial peptides mimetic to inhibit Ca2+ influx DDX3X activity for blocking dengue viral infectivity

Viruses are microscopic biological entities that can quickly invade and multiply in a living organism. Each year, over 36,000 people die and nearly 400 million are infected with the dengue virus (DENV). Despite dengue being an endemic disease, no targeted and effective antiviral peptide resource is available against the dengue species. Antiviral peptides (AVPs) have shown tremendous ability to fight against different viruses. Accelerating antiviral drug discovery is crucial, particularly for RNA viruses. DDX3X, a vital cell component, supports viral translation and interacts with TRPV4, regulating viral RNA metabolism and infectivity. Its diverse signaling pathway makes it a potential therapeutic target. Our study focuses on inhibiting viral RNA translation by blocking the activity of the target gene and the TRPV4-mediated Ca2+ cation channel. Six major proteins from camel milk were first extracted and split with the enzyme pepsin. The antiviral properties were then analyzed using online bioinformatics programs, including AVPpred, Meta-iAVP, AMPfun, and ENNAVIA. The stability of the complex was assessed using MD simulation, MM/GBSA, and principal component analysis. Cytotoxicity evaluations were conducted using COPid and ToxinPred. The top ten AVPs, determined by optimal scores, were selected and saved for docking studies with the GalaxyPepDock tools. Bioinformatics analyses revealed that the peptides had very short hydrogen bond distances (1.8 to 3.6 Å) near the active site of the target protein. Approximately 76% of the peptide residues were 5–11 amino acids long. Additionally, the identified peptide candidates exhibited desirable properties for potential therapeutic agents, including a net positive charge, moderate toxicity, hydrophilicity, and selectivity. In conclusion, this computational study provides promising insights for discovering peptide-based therapeutic agents against DENV.

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来源期刊
CiteScore
6.00
自引率
0.00%
发文量
22
审稿时长
6-12 weeks
期刊介绍: The Journal of Bioenergetics and Biomembranes is an international journal devoted to the publication of original research that contributes to fundamental knowledge in the areas of bioenergetics, biomembranes, and transport, including oxidative phosphorylation, photosynthesis, muscle contraction, as well as cellular and systemic metabolism. The timely research in this international journal benefits biophysicists, membrane biologists, cell biologists, biochemists, molecular biologists, physiologists, endocrinologists, and bio-organic chemists.
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