背景:块状皮肤病,一种经济上重大的牛疾病,现在在以前闻所未闻的地理区域中发现。疫苗接种是对其停止进一步流传的重要门路之一。
目标:因此,在这项研究中,我们应用先进的免疫信息学方法来设计和开发一种有效的块状皮肤病病毒(LSDV)疫苗。
方法:通过使用免疫表位数据库选择膜糖蛋白用于预测不同的B-和T-细胞表位。将选择的B-和T-细胞表位与合适的接头和佐剂组合,产生疫苗嵌合体构建体。生物信息学工具被用来预测,细化和验证2D,3D结构,并使用不同的服务器与Toll样受体4进行分子对接。构建的候选疫苗在抗原性的基础上进一步加工,变应原性,溶解度,不同的理化性质和分子对接评分。
结果:计算机模拟免疫模拟诱导了显著的免疫细胞应答。进行计算机克隆和密码子优化以在大肠杆菌中表达疫苗候选物。这项研究突出了设计基于肽的LSDV疫苗的良好信号。
结论:因此,本发现可能表明工程多表位疫苗结构稳定,可以诱导强烈的免疫反应,这应该有助于开发一种有效的疫苗来控制LSDV感染。
Lumpy skin disease, an economically significant bovine illness, is now found in previously unheard-of geographic regions. Vaccination is one of the most important ways to stop its further spread.
Therefore, in this study, we applied advanced immunoinformatics approaches to design and develop an effective lumpy skin disease virus (LSDV) vaccine.
The membrane glycoprotein was selected for prediction of the different B- and T-cell epitopes by using the immune epitope database. The selected B- and T-cell epitopes were combined with the appropriate linkers and adjuvant resulted in a vaccine chimera construct. Bioinformatics tools were used to predict, refine and validate the 2D, 3D structures and for molecular docking with toll-like receptor 4 using different servers. The constructed vaccine candidate was further processed on the basis of antigenicity, allergenicity, solubility, different physiochemical properties and molecular docking scores.
The in silico immune simulation induced significant response for immune cells. In silico cloning and codon optimization were performed to express the vaccine candidate in Escherichia coli. This study highlights a good signal for the design of a peptide-based LSDV vaccine.
Thus, the present findings may indicate that the engineered multi-epitope vaccine is structurally stable and can induce a strong immune response, which should help in developing an effective vaccine towards controlling LSDV infection.