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Molecular docking analysis of 2009-H1N1 and 2004-H5N1 influenza virus HLA-B*4405-restricted HA epitope candidates: implications for TCR cross-recognition and vaccine development

机译:2009-H1N1和2004-H5N1流感病毒HLA-B * 4405限制的HA表位候选物的分子对接分析:对TCR交叉识别和疫苗发育的影响

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Background: The pandemic 2009-H1N1 influenza virus circulated in the human population and caused thousands deaths worldwide. Studies on pandemic influenza vaccines have shown that T cell recognition to conserved epitopes and cross-reactive T cell responses are important when new strains emerge, especially in the absence of antibody cross-reactivity. In this work, using HLA-B*4405 and DM1-TCR structure model, we systematically generated high confidence conserved 2009-H1N1 T cell epitope candidates andinvestigated their potential cross-reactivity against H5N1 avian flu virus.Results: Molecular docking analysis of differential DM1-TCR recognition of the 2009-H1N1 epitope candidates yielded a mosaic epitope (KEKMNTEFW) and potential H5N1 HA cross-reactive epitopes that could be applied as multivalent peptide towards influenza A vacane development. Structural models of TCR cross-recognition between 2009-H1N1 and 2004-H5N1 revealed steric and topological effects of TCR contact residue mutations on TCR binding affinity.Conclusions: The results are novel with regard to HA epitopes and useful for developing possible vaccination strategies against the rapidly changing influenza viruses. Yet, the challenge of identifying epitope candidates that result in heterologous T cell immunity under natural influenza infection conditions can only be overcome if more structural data on the TCR repertoire become available.
机译:背景:大流行2009-H1N1流感病毒在人口中循环,并在全球致命致命。对大流行性流感疫苗的研究表明,当新菌株出现时,T细胞识别和交叉反应性T细胞应答很重要,特别是在没有抗体交叉反应性的情况下。在这项工作中,使用HLA-B * 4405和DM1-TCR结构模型,我们系统地产生了高度信心保释的2009-H1N1 T细胞表位候选者,并从而对H5N1禽流感病毒的潜在交叉反应性。结果:差分DM1的分子对接分析-TCR识别2009-H1N1表位候选物产生了马赛克表位(Kekmntefw)和潜在的H5N1 HA交叉反应性表位,其可以作为多价肽施加流感的液体发育。 2009-H1N1和2004-H5N1之间TCR交字核的结构模型揭示了TCR接触残留突变对TCR结合亲和力的特性和拓扑效应。结论:结果是关于HA表位的新颖,可用于开发可能的疫苗接种策略快速改变流感病毒。然而,如果TCR曲目上的更多结构数据可用,则只能克服在天然流感感染条件下识别导致异源T细胞免疫力的表位候选者的挑战。

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