基于免疫信息学的寨卡病毒多表位 DNA 和 mRNA 疫苗设计。

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS

Bioinformatics and Biology Insights Pub Date : 2024-05-31 eCollection Date: 2024-01-01 DOI:10.1177/11779322241257037

Juciene de Matos Braz, Marcus Vinicius de Aragão Batista

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引用次数: 0

摘要

在本研究中，我们使用免疫信息学方法预测了寨卡病毒（ZIKV）蛋白的抗原表位，以帮助设计针对 ZIKV 的疫苗抗原。我们对 ZIKV 蛋白的 CD8+ T 淋巴细胞表位和抗原性 B 细胞表位进行了预测。我们评估了 T 细胞表位与主要组织相容性复合体 I 类（MHC-I）蛋白的结合相互作用。我们选择了具有抗原性、保守性、无毒性和免疫原性的表位，这些表位与人类白细胞抗原（HLA-A 和 HLA-B）等位基因有显著的相互作用，在全球的覆盖率为 76.35%。在连接剂和佐剂的帮助下，预测的表位被连接在一起。然后，通过与 TLR3 和 TLR8 的分子对接分析了疫苗抗原，并将其克隆到 pVAX1 载体中，以用作 DNA 疫苗和设计成 mRNA 疫苗。

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Immunoinformatics-Based Design of Multi-epitope DNA and mRNA Vaccines Against Zika Virus.

In this study, we used an immunoinformatics approach to predict antigenic epitopes of Zika virus (ZIKV) proteins to assist in designing a vaccine antigen against ZIKV. We performed the prediction of CD8+ T-lymphocyte and antigenic B-cell epitopes of ZIKV proteins. The binding interactions of T-cell epitopes with major histocompatibility complex class I (MHC-I) proteins were assessed. We selected the antigenic, conserved, nontoxic, and immunogenic epitopes, which indicated significant interactions with the human leucocyte antigen (HLA-A and HLA-B) alleles and worldwide population coverage of 76.35%. The predicted epitopes were joined with the help of linkers and an adjuvant. The vaccine antigen was then analyzed through molecular docking with TLR3 and TLR8, and it was in silico cloned in the pVAX1 vector to be used as a DNA vaccine and designed as a mRNA vaccine.

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来源期刊

Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-

CiteScore

6.80

自引率

1.70%

发文量

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.