Behbahani Mandana, Moradi Mohammad, Mohabatkar Hassan
Department of Biotechnology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran.
In Silico Pharmacol. 2021 May 11;9(1):36. doi: 10.1007/s40203-021-00095-w. eCollection 2021.
Designing an effective vaccine against different subtypes of Influenza A virus is a critical issue in the field of medical biotechnology. At the current study, a novel potential multi-epitope vaccine candidate based on the neuraminidase proteins for seven subtypes of Influenza virus was designed, using the in silico approach. Potential linear B-cell and T-cell binding epitopes from each neuraminidase protein (N1, N2, N3, N4, N6, N7, N8) were predicted by in silico tools of epitope prediction. The selected epitopes were joined by three different linkers, and physicochemical properties, toxicity, and allergenecity were investigated. The final multi-epitope construct was modeled using GalaxyWEB server, and the molecular interactions with immune receptors were investigated and the immune response simulation assay was performed. A multi-epitope construct with GPGPGPG linker with the lowest allergenicity and highest stability was selected. The molecular docking assay indicated the interactions with immune system receptors, including HLA1, HLA2, and TLR-3. Immune response simulation detected both humoral and cellular response, including the elevated count of B-cells, T-cell, and Nk-cells.
The online version contains supplementary material available at 10.1007/s40203-021-00095-w.
设计一种针对甲型流感病毒不同亚型的有效疫苗是医学生物技术领域的一个关键问题。在当前的研究中，使用计算机模拟方法设计了一种基于七种流感病毒亚型神经氨酸酶蛋白的新型潜在多表位疫苗候选物。通过表位预测的计算机模拟工具预测了每种神经氨酸酶蛋白（N1、N2、N3、N4、N6、N7、N8）的潜在线性B细胞和T细胞结合表位。所选表位通过三种不同的接头连接，并研究了其理化性质、毒性和过敏原性。使用GalaxyWEB服务器对最终的多表位构建体进行建模，研究其与免疫受体的分子相互作用并进行免疫反应模拟分析。选择了具有最低过敏原性和最高稳定性的带有GPGPGPG接头的多表位构建体。分子对接分析表明其与包括HLA1、HLA2和TLR-3在内的免疫系统受体相互作用。免疫反应模拟检测到体液和细胞反应，包括B细胞、T细胞和自然杀伤细胞数量的增加。
在线版本包含可在10.1007/s40203-021-00095-w获取的补充材料。
