探索布鲁氏菌蛋白质组学,设计创新型多表位 mRNA 疫苗。

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Bioinformatics and Biology Insights Pub Date : 2024-08-30 eCollection Date: 2024-01-01 DOI:10.1177/11779322241272404
Maryam Asadinezhad, Iraj Pakzad, Parisa Asadollahi, Sobhan Ghafourian, Behrooz Sadeghi Kalani
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引用次数: 0

摘要

布鲁氏菌病是一种使人衰弱的慢性疾病,给畜牧业造成了巨大的经济损失。制作有效的疫苗是该疾病最重要的问题之一。新型 mRNA 疫苗技术以其准确性和高效性在多种疾病中取得了可喜的成果。这项研究的目的是制造一种新型 mRNA 疫苗,该疫苗具有针对布鲁氏菌的多个表位。利用免疫形式化工具筛选出 17 种抗原蛋白及其适当的表位,并对其毒性、过敏性和同源性进行了调查。然后,利用分子对接等有效工具检查了它们在 MHC 细胞和其他免疫细胞中的呈现和识别情况,并建立了多表位蛋白模型,在优化后对 mRNA 的结构和稳定性进行了分析。最后,对免疫系统对这种新型疫苗的反应进行了评估,结果表明所设计的 mRNA 构建物可以成为一种有效且有前景的疫苗,需要进行实验室和临床试验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proteomics Exploration of Brucella melitensis to Design an Innovative Multi-Epitope mRNA Vaccine.

Brucellosis is a chronic and debilitating disease in humans, causing great economic losses in the livestock industry. Making an effective vaccine is one of the most important concerns for this disease. The new mRNA vaccine technology due to its accuracy and high efficiency has given promising results in various diseases. The objective of this research was to create a novel mRNA vaccine with multiple epitopes targeting Brucella melitensis. Seventeen antigenic proteins and their appropriate epitopes were selected with immunoinformatic tools and surveyed in terms of toxicity, allergenicity, and homology. Then, their presentation and identification by MHC cells and other immune cells were checked with valid tools such as molecular docking, and a multi-epitope protein was modeled, and after optimization, mRNA was analyzed in terms of structure and stability. Ultimately, the immune system's reaction to this novel vaccine was evaluated and the results disclosed that the designed mRNA construct can be an effective and promising vaccine that requires laboratory and clinical trials.

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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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