Design of a novel multi-epitope vaccine against Marburg virus using immunoinformatics studies

被引:0
|
作者
Al-Zayadi, Fouad Qasim Jubair [1 ]
Shakir, Ali S. [2 ]
Kareem, Ahmed Shayaa [3 ]
Ghasemian, Abdolmajid [4 ]
Behmard, Esmaeil [5 ]
机构
[1] Al Muthanna Univ, Coll Educ Pure Sci, Dept Biol, Al Muthanna, Iraq
[2] Univ Al Qadisiyah, Coll Dent, Diwaniyah, Iraq
[3] Imam Jaafar Al Sadiq Univ, Dept Med Labs Tech, Babylon 66002, Iraq
[4] Fasa Univ Med Sci, Noncommunicable Dis Res Ctr, Fasa, Iran
[5] Fasa Univ Med Sci, Sch Adv Technol Med, Fasa, Iran
关键词
Marburg virus; Multi-epitope vaccine; Prevention; immunization; In silico; PROTEIN; DISEASE; PREDICTION; EBOLA; NP;
D O I
10.1186/s12896-024-00873-2
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Marburg virus (MARV) is a highly contagious and virulent agent belonging to Filoviridae family. MARV causes severe hemorrhagic fever in humans and non-human primates. Owing to its highly virulent nature, preventive approaches are promising for its control. There is currently no approved drug or vaccine against MARV, and management mainly involves supportive care to treat symptoms and prevent complications. Our aim was to design a novel multi-epitope vaccine (MEV) against MARV using immunoinformatics studies. In this study, various proteins (VP35, VP40 and glycoprotein precursor) were used and potential epitopes were selected. CTL and HTL epitopes covered 79.44% and 70.55% of the global population, respectively. The designed MEV construct was stable and expressed in Escherichia coli (E. coli) host. The physicochemical properties were also acceptable. MARV MEV candidate could predict comprehensive immune responses such as those of humoral and cellular in silico. Additionally, efficient interaction to toll-like receptor 3 (TLR3) and its agonist (beta-defensin) was predicted. There is a need for validation of these results using further in vitro and in vivo studies.
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页数:13
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