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Prediction and characterization of T-cell epitopes for epitope vaccine design from outer membrane protein of Neisseria meningitidis serogroup B

机译:从脑膜炎奈瑟氏球菌血清群B外膜蛋白设计抗原决定簇疫苗的T细胞抗原决定簇的预测和表征

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摘要

Neisseria meningitidis serogroup B (MC58) is a leading cause of meningitis and septicaemia, principally infects the infants and adolescents. No vaccine is available for the prevention of these infections because the serogroup B capsular polysaccharide is unable to stimulate an immune response, due to its similarity with polysialic acid. To overcome these obstacles, we proposed to develop a peptide based epitope vaccine from outer membrane protein contained in outer membrane vesicles (OMV) based on our computational analysis. In OMV a total of 236 proteins were identified, only 15 (6.4%) of which were predicted to be located in outer membrane. The major requirement is the identification and selection of T-cell epitopes that act as a vaccine target. We have selected 13 out of 15 outer membrane proteins from OMV proteins. Due to similarity of the fkpA and omp85 with the human FKBP2 and SAMM50 protein, we removed these two sequences from the analysis as their presence in the vaccine is likely to elicit an autoimmune response. ProPred and ProPred1 were used to predict promiscuous helper T Lymphocytes (HTL) and cytotoxic T Lymphocytes (CTL) epitopes and MHCPred for their binding affinity in N. meningitidis serogroup B (MC58), respectively. Binding peptides (epitopes) are distinguished from nonbinding peptides in properties such as amino acid preference on the basis of amino acid composition. By using this dataset, we compared physico-chemical and structural properties at amino acid level through amino acid composition, computed from ProtParam server. Results indicate that porA, porB, opc, rmpM, mtrE and nspA are more suitable vaccine candidates. The predicted peptides are expected to be useful in the design of multi-epitope vaccines without compromising the human population coverage
机译:脑膜炎奈瑟菌B血清群(MC58)是脑膜炎和败血病的主要原因,主要感染婴儿和青少年。没有疫苗可用于预防这些感染,因为血清群B荚膜多糖由于与聚唾液酸的相似性而无法刺激免疫反应。为了克服这些障碍,我们建议根据我们的计算分析,从外膜囊泡(OMV)中包含的外膜蛋白开发一种基于肽的表位疫苗。在OMV中,总共鉴定出236种蛋白质,其中只有15种(6.4%)预计位于外膜中。主要要求是鉴定和选择充当疫苗靶标的T细胞表位。我们从OMV蛋白中选择了15种外膜蛋白中的13种。由于fkpA和omp85与人FKBP2和SAMM50蛋白的相似性,我们从分析中删除了这两个序列,因为它们在疫苗中的存在可能会引发自身免疫反应。 ProPred和ProPred1分别用于预测混杂辅助T淋巴细胞(HTL)和细胞毒性T淋巴细胞(CTL)表位以及MHCPred在脑膜炎双球菌血清群B(MC58)中的结合亲和力。结合肽(表位)与非结合肽的区别在于基于氨基酸组成的性质例如氨基酸偏好。通过使用此数据集,我们比较了通过ProtParam服务器计算的氨基酸组成在氨基酸水平上的理化和结构特性。结果表明,porA,porB,opc,rmpM,mtrE和nspA是更合适的候选疫苗。预计预测的肽可用于设计多表位疫苗而不会影响人群的覆盖范围

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