利用先进的免疫信息学方法开发针对 SARS-CoV 和 SARS-CoV-2 棘突蛋白的祖传直流电和 TLR4 诱导多表位肽疫苗

IF 2.3 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Cena Aram , Parsa Alijanizadeh , Kiarash Saleki , Leila Karami
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引用次数: 0

摘要

引发大流行的最古老的人类冠状病毒是严重急性呼吸系统综合征病毒(SARS-CoV)。虽然 SARS-CoV 已被根除,但其新版本 SARS-CoV2 却引发了 COVID-19 全球大流行。有证据表明,这些病毒策划的有害事件是由 Spike (S)P 蛋白介导的。我们从免疫表位数据库(IEDB)中获得了 S 蛋白的实验表位,这些表位在 SARS-CoV 和 SARS-CoV-2 之间是重叠的和祖先的。然后将这些表位与 50 S 核糖体蛋白 L7/L12 佐剂、结核分枝杆菌衍生元素和树突状细胞(DC)介质以及收费样受体 4(TLR4)组合在一起。免疫原序列由 GalaxyWeb 服务器建模。在对蛋白质结构进行改进和验证后,进行了物理化学性质和免疫模拟。为了研究与 TLR3/4 的相互作用,使用了分子动力学模拟(MDS)。通过合并 17 个 B 淋巴细胞和 T 淋巴细胞(HTL/CTL)表位,创建了疫苗序列。此外,拉马钱德兰图显示,大部分残基位于最有利和允许的区域。此外,SnapGene 还成功地将与疫苗相关的 DNA 序列克隆到了预定的质粒中。在 pET-28a (+) 载体的 XhoI 和 SacI 位置之间插入了一个序列,模拟琼脂糖凝胶显示,在克隆的带有 SARS 疫苗(SARSV)构建体的质粒中存在插入的基因,其总长度为 6565 bp。在细胞因子/IgG 反应方面,免疫学模拟显示了强烈的免疫反应。分子动力学模拟(MDS)分析表明,稳定疫苗与 TLR3/4 有很强的相互作用。目前的祖先疫苗以常见序列为目标,即使对新的变种 SARS-CoV-2 来说,这些序列似乎也是有价值的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of an ancestral DC and TLR4-inducing multi-epitope peptide vaccine against the spike protein of SARS-CoV and SARS-CoV-2 using the advanced immunoinformatics approaches

Development of an ancestral DC and TLR4-inducing multi-epitope peptide vaccine against the spike protein of SARS-CoV and SARS-CoV-2 using the advanced immunoinformatics approaches

The oldest human coronavirus that started pandemics is severe acute respiratory syndrome virus (SARS-CoV). While SARS-CoV was eradicated, its new version, SARS-CoV2, caused the global pandemic of COVID-19. Evidence highlights the harmful events orchestrated by these viruses are mediated by Spike (S)P protein. Experimental epitopes of the S protein which were overlapping and ancestral between SARS-CoV and SARS-CoV-2 were obtained from the immune epitopes database (IEDB). The epitopes were then assembled in combination with a 50 S ribosomal protein L7/L12 adjuvant, a Mycobacterium tuberculosis-derived element and mediator of dendritic cells (DCs) and toll-like receptor 4 (TLR4). The immunogenic sequence was modeled by the GalaxyWeb server. After the improvement and validation of the protein structure, the physico-chemical properties and immune simulation were performed. To investigate the interaction with TLR3/4, Molecular Dynamics Simulation (MDS) was used. By merging the 17 B- and T-lymphocyte (HTL/CTL) epitopes, the vaccine sequence was created. Also, the Ramachandran plot presented that most of the residues were located in the most favorable and allowed areas. Moreover, SnapGene was successful in cloning the DNA sequence linked to our vaccine in the intended plasmid. A sequence was inserted between the XhoI and SacI position of the pET-28a (+) vector, and simulating the agarose gel revealed the existence of the inserted gene in the cloned plasmid with SARS vaccine (SARSV) construct, which has a 6565 bp in length overall. In terms of cytokines/IgG response, immunological simulation revealed a strong immune response. The stabilized vaccine showed strong interactions with TLR3/4, according to Molecular Dynamics Simulation (MDS) analysis. The present ancestral vaccine targets common sequences which seem to be valuable targets even for the new variant SARS-CoV-2.

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来源期刊
Biochemistry and Biophysics Reports
Biochemistry and Biophysics Reports Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
4.60
自引率
0.00%
发文量
191
审稿时长
59 days
期刊介绍: Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.
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