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Immuno-informatics Analysis to Identify Novel Vaccine Candidates and Design of a Multi-Epitope Based Vaccine Candidate Against Theileria parasites

机译:免疫信息学分析以鉴定新型疫苗候选者和针对Theileria寄生虫的多表位疫苗候选者的设计

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摘要

Theileriosis poses a serious threat to ruminants in tropical and subtropical countries. It is a tick-borne disease, caused by an apicomplexan parasite, Theileria. The high disease burden in animals causes huge economic losses to marginal farmers. Further, with increasing cases of resistance to commonly used drugs, it is highly desirable to develop better and cost-effective vaccines against theileriosis. The only available vaccine, live attenuated parasite vaccine, has many drawbacks and hence is unsuitable for controlling this disease. Immuno-informatics has emerged as a useful tool in down selection of potential molecules for vaccine development. In this study, we have used an immuno-informatics driven genome-wide screening strategy to identify potential vaccine targets containing important and effective dominant immunogens against Theileria. The proteome of Theileria annulata was screened for proteins with probability of plasma membrane localization or GPI anchor. The proteins non-homologous to the host (bovine) were selected and their antigenicity was analyzed. The B-cell epitopes were identified in the selected proteins and mapped in the modeled structure of the proteins. A total of 19 linear epitopes in 12 proteins, exposed in the extracellular space and having the potential to induce protective antibodies were obtained. Additionally, CTL epitopes which are peptides with 9-mer core sequence, were also identified, modeled and docked with bovine MHC-I structures. The CTL epitopes showing high binding energy with the bovine MHC-I were further engineered in silico to design a putative multi-epitope vaccine candidate against Theileria parasites. The docking studies and molecular dynamics studies with the predicted multi-epitope vaccine candidate and modeled bovine TLR4 exhibited strong binding energy, suggesting that the complex is stable and the putative multi-epitope vaccine candidate can be a potentially good candidate for vaccine development.
机译:针虫病对热带和亚热带国家的反刍动物构成了严重威胁。它是由tick传播的寄生虫泰勒氏菌引起的ria传播疾病。动物的高疾病负担给边缘农民造成了巨大的经济损失。此外,随着对常用药物耐药性的增加,迫切需要开发出更好的和具有成本效益的抗回虫病的疫苗。唯一可用的疫苗,减毒活寄生虫疫苗,有许多缺点,因此不适合控制这种疾病。免疫信息学已成为减少疫苗开发潜在分子选择的有用工具。在这项研究中,我们已经使用了一种以免疫信息学为驱动力的全基因组筛选策略,以鉴定出含有针对Theileria的重要而有效的主要免疫原的潜在疫苗靶标。筛选了Theileria annulata的蛋白质组中具有质膜定位或GPI锚定可能性的蛋白质。选择与宿主(牛)非同源的蛋白质,并分析其抗原性。在所选蛋白质中鉴定出B细胞表位,并在蛋白质的建模结构中作图。获得了暴露于细胞外空间并具有诱导保护性抗体潜能的12种蛋白质中的19种线性表位。另外,还鉴定,建模并与牛MHC-1结构对接的具有9聚体核心序列的肽CTL表位。显示与牛MHC-1具有高结合能的CTL表位在计算机上进一步工程化,以设计出一种针对Theileria寄生虫的推定多表位疫苗候选物。与预测的多表位疫苗候选物和模型牛TLR4的对接研究和分子动力学研究显示出强大的结合能,这表明该复合物是稳定的,推定的多表位疫苗候选物可能是疫苗开发的潜在良好候选物。

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