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一种新型抗鱼类感染多表位疫苗候选物的研发:一项免疫信息学研究

Development of a Novel Multi-Epitope Vaccine Candidate against Infection in Fish: An Immunoinformatics Study.

作者信息

Forouharmehr A, Banan A, Mousavi S M, Jaydari A

机构信息

Department of Animal Science, Faculty of Agriculture, Lorestan University, Khorramabad, Iran.

Department of Marine Science, Faculty of Agriculture, Lorestan University, Khorramabad, Iran.

出版信息

Arch Razi Inst. 2022 Feb 28;77(1):45-56. doi: 10.22092/ARI.2021.353377.1601. eCollection 2022 Feb.

DOI:10.22092/ARI.2021.353377.1601
PMID:35891737
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9288608/
Abstract

infection is recognized as a disease with substantial economic losses, infecting a wide range of fish species. The limitations of current vaccines and strategies have led to the identification of new methods to control this disease. Multi-epitope vaccines which employ various immunogenic proteins can be promising. The current research project aimed to design an efficient multi-epitope vaccine against infection in fish. To this end, six immunogenic proteins of , including FBA, ENO, Sip11, GAPDH, MtsB, and SCPI proteins, were applied for epitope prediction. The best B cell, T cell, and IFNγ epitopes of the immunogenic proteins, as well as interleukin-8, were used to construct a multi-epitope vaccine. Thereafter, different parameters of the designed vaccine, including physicochemical features, antigenicity, secondary structure, and tertiary structure, were evaluated. Moreover, the interaction of the interleukin-8 domain of the designed vaccine and its receptor was investigated by molecular docking strategy. Finally, nucleotide sequence of the vaccine was adapted to express in . The results of the present study pointed out that the designed vaccine was a stable vaccine with molecular weight and antigenicity score of 45 kDa and 0.936, respectively. Furthermore, the structure analysis results revealed that the designed vaccine contained 23.49% alpha helix, with 90.5% residues in favored region. Finally, it was demonstrated that the interleukin-8 domain of the designed vaccine could be successfully docked to its receptor with the lowest energy of -1020.9. Based on the obtained results, it seems that the designed vaccine can be an efficient candidate to prevent infection in fish.

摘要

感染被认为是一种造成重大经济损失的疾病,可感染多种鱼类。当前疫苗和策略的局限性促使人们寻找控制这种疾病的新方法。采用多种免疫原性蛋白的多表位疫苗可能具有前景。当前的研究项目旨在设计一种高效的抗鱼类感染多表位疫苗。为此,应用了该病原体的六种免疫原性蛋白,包括FBA、ENO、Sip11、GAPDH、MtsB和SCPI蛋白进行表位预测。利用免疫原性蛋白的最佳B细胞、T细胞和IFNγ表位以及白细胞介素-8来构建一种多表位疫苗。此后,评估了所设计疫苗的不同参数,包括物理化学特性、抗原性、二级结构和三级结构。此外,通过分子对接策略研究了所设计疫苗的白细胞介素-8结构域与其受体的相互作用。最后,对疫苗的核苷酸序列进行改造以便在(此处原文缺失具体表达系统)中表达。本研究结果指出,所设计的疫苗是一种稳定的疫苗,分子量为45 kDa,抗原性评分为0.936。此外,结构分析结果显示,所设计的疫苗含有23.49%的α螺旋,90.5%的残基处于有利区域。最后,证明所设计疫苗的白细胞介素-8结构域能够以-1020.9的最低能量成功对接至其受体。基于所得结果,所设计的疫苗似乎可以成为预防鱼类感染的有效候选疫苗。

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本文引用的文献

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Computational design of a novel multi-epitope vaccine against Coxiella burnetii.计算机设计新型柯克斯体多表位疫苗。
Hum Immunol. 2020 Oct-Nov;81(10-11):596-605. doi: 10.1016/j.humimm.2020.05.010. Epub 2020 Jul 24.
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