IN SILICO B-CELL EPITOPE VACCINE DESIGN AND PHYLOGENETIC ANALYSIS OF EBOLA VIRUS ENVELOPE GLYCOPROTEIN

IF 0.7 Q4 PHARMACOLOGY & PHARMACY INDONESIAN JOURNAL OF PHARMACY Pub Date : 2023-03-27 DOI:10.22146/ijp.4197
A. Ansori, R. Zainul
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Abstract

Ebola virus (EBOV) is a type of RNA virus from the family of Filoviridae. The 2014-2016 Ebola outbreak in African countries Guinea, Liberia and Sierra Leone has a total of 28,616 cases and 11,310 deaths. People suffering from Ebola disease reported to have symptoms such as fever, body aches, diarrhea and internal and external bleeding. Death from Ebola is mostly caused by multi-organ failure due to internal bleeding and fluid loss. Another Ebola outbreak has spiked this February 2021, suggesting low effectivity of the previous vaccines used. Zaire Ebola virus (EBOV) is known to be the species highly involved on the recent outbreak with a high mortality rate. This study is carried out to design B-cell epitope Ebola vaccine based on the conserved region of Zaire EBOV glycoprotein. Reverse vaccinology and immunoinformatic approaches are used in this study. Samples of Zaire EBOV glycoprotein sequences were retrieved from GenBank, NCBI. The 3D modelling was done by using SWISS-MODEL web server and PyMol software. Phylogenetic tree analysis was also done by using MEGA X. B-cell epitope prediction was done by BepiPred 2.0 and Emini Surface Accessibility using IEDB web server. Epitopes were selected based on its conservancy by comparing the sequences with the MEGA X alignment result. Antigenicity, allergenicity and toxicity properties of the peptides were predicted using VaxiJen 2.0, AllerTOP 2.0 and ToxinPred web servers. In silico cloning was done as the final step using pET-24a(+) expression vector. This study revealed that peptide “LEIKKPD”, “TGFGTNETEYLF”, “PYFGPAA”, “PYFGPA”, and “KLSSTNQL” are the best candidate of B-cell epitope vaccine. Phylogenetic tree and 3D modelling successfully showed the genetic and structural differences of Zaire EBOV GP originating from various countries. In silico cloning was also done using pET28a(+) expression vector to design clone vector map to be used for the next phase of vaccine development.
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埃博拉病毒包膜糖蛋白硅片b细胞表位疫苗设计及系统发育分析
埃博拉病毒(EBOV)是丝状病毒科的一种RNA病毒。2014-2016年在非洲国家几内亚、利比里亚和塞拉利昂爆发的埃博拉疫情共造成28616例病例和11310例死亡。据报道,感染埃博拉病毒的人会出现发烧、身体疼痛、腹泻和内外出血等症状。埃博拉病毒造成的死亡主要是由于内出血和体液流失造成的多器官衰竭。2021年2月又爆发了一场埃博拉疫情,表明之前使用的疫苗效力较低。扎伊尔埃博拉病毒(EBOV)已知是与最近的疫情高度相关的物种,死亡率高。本研究基于扎伊尔埃博拉病毒糖蛋白保守区设计b细胞表位埃博拉疫苗。在这项研究中使用了反向疫苗学和免疫信息学方法。扎伊尔埃博拉病毒糖蛋白序列从GenBank, NCBI检索。利用SWISS-MODEL web服务器和PyMol软件进行三维建模。系统发育树分析采用MEGA x软件。b细胞表位预测采用BepiPred 2.0软件,Emini Surface Accessibility软件使用IEDB web服务器。将序列与MEGA X比对结果进行比较,根据其保护性选择表位。利用VaxiJen 2.0、AllerTOP 2.0和ToxinPred web服务器预测肽的抗原性、致敏性和毒性。最后一步用pET-24a(+)表达载体进行硅片克隆。本研究发现肽“LEIKKPD”、“TGFGTNETEYLF”、“PYFGPAA”、“PYFGPA”和“KLSSTNQL”是b细胞表位疫苗的最佳候选。系统发育树和三维建模成功地显示了来自不同国家的扎伊尔埃博拉病毒GP的遗传和结构差异。利用pET28a(+)表达载体进行硅片克隆,设计克隆载体图谱,为下一阶段疫苗研制提供依据。
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来源期刊
INDONESIAN JOURNAL OF PHARMACY
INDONESIAN JOURNAL OF PHARMACY PHARMACOLOGY & PHARMACY-
CiteScore
1.20
自引率
0.00%
发文量
38
审稿时长
12 weeks
期刊介绍: The journal had been established in 1972, and online publication was begun in 2008. Since 2012, the journal has been published in English by Faculty of Pharmacy Universitas Gadjah Mada (UGM) Yogyakarta Indonesia in collaboration with IAI (Ikatan Apoteker Indonesia or Indonesian Pharmacist Association) and only receives manuscripts in English. Indonesian Journal of Pharmacy is Accredited by Directorate General of Higher Education. The journal includes various fields of pharmaceuticals sciences such as: -Pharmacology and Toxicology -Pharmacokinetics -Community and Clinical Pharmacy -Pharmaceutical Chemistry -Pharmaceutical Biology -Pharmaceutics -Pharmaceutical Technology -Biopharmaceutics -Pharmaceutical Microbiology and Biotechnology -Alternative medicines.
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