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首页> 外文期刊>International journal of peptide research and therapeutics >Sequence and Structure Based Binding Prediction Study of HLA Class I and cTAP Binding Peptides for Japanese Encephalitis Vaccine Development
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Sequence and Structure Based Binding Prediction Study of HLA Class I and cTAP Binding Peptides for Japanese Encephalitis Vaccine Development

机译:基于序列和结构的序列和结构对日本脑炎疫苗发育的HLA I类和CTAP结合肽的结合预测研究

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摘要

Japanese encephalitis is a major threat in developing countries, even the availability of several conventional vaccines, which demand development of more effective vaccines. The present study used propred I and Immune Epitope Database Artificial Neural Network (ANN) algorithm (IEDB-ANN) to identify the conserve and promiscuous T cell epitopes from JEV proteome followed by structure based analysis of potential epitopes. Among all identified 102 epitopes, ten epitope were promiscuous but two epitopes of glycoprotein viz. (55)LVTVNPFVA(63) and (38)IPIVSVASL(46) were found most promiscuous, highly conserved and high population coverage in comparison of known antigenic positive control peptides. The B cell epitopes of glycoprotein also share these two T cell epitopes revealed by BCPred algorithm which can be a basis to confer the protection by neutralizing antibody combined with an effective cell-mediated response. Further, Autodock 4.2 and NAMD-VMD molecular dynamics simulation were used for docking and molecular dynamics simulation respectively, to validate epitope and allele complex binding stability. The 3D structure models were generated for epitopes and corresponding HLA allele by Pepstr and Modeller 9.10 respectively. Epitope LVTVNPFVA-B5101 allele complex showed best energy minimization and stability over the time window during simulation. Here we also present the binding sequel of epitope LVTVNPFVA and its eventual transport through cTAP1 (PDB ID: 1JJ7) revealed by Autodock 4.2, which is an essential path for HLA class I binding epitopes to elicit immune response. The docking experiment of epitope LVTVNPFVA and cTAP1 very well show a 2 H-bond with a binding energy of -1.88 kcal/mol and other binding state of epitope forming no H-bond with a binding energy of -1.13 kcal/mol in the lower area of cTAP1 cavity. These results show a smooth pass through of the epitope across the channel of cTAP1. Overall, identified peptides have potential application in the design and development of short peptide based vaccines and diagnostic agents for Japanese encephalitis.
机译:日本脑炎是发展中国家的主要威胁,即使是几种常规疫苗的可用性,需求更有效的疫苗。本研究使用了提出的I和免疫表位数据库人工神经网络(ANN)算法(IEDB-ANN),以鉴定JEV蛋白质组的保护和混杂T细胞表位,然后基于基于潜在表位的分析。在所有确定的102个表位中,十个表位是混杂的,但糖蛋白viz的两个表位。 (55)LVTVNPFVA(63)和(38)IPIVSVASL(46)在已知的抗原阳性对照肽的比较中被发现最混杂,高度保守和高人口覆盖率。糖蛋白的B细胞表位也共享由BCPRED算法揭示的这两种T细胞表位,其可以是通过与有效细胞介导的反应结合的中和抗体赋予保护的基础。此外,Autodock 4.2和NamD-VMD分子动力学模拟分别用于对接和分子动力学模拟,以验证表位和等位基因复合物结合稳定性。 Pepstr和Modeller 9.10分别为表位和相应的HLA等位基因生成3D结构模型。表位LVTVNPFVA-B5101等位基因复合物在模拟期间,在时间窗口中显示出最佳的能量最小化和稳定性。在这里,我们还通过Autodock 4.2揭示的CTAP1(PDB ID:1JJ7)呈现表位LVTVNPFVA的结合序列及其最终运输,这是HLA类I结合表位的基本途径,以引发免疫应答。表位LVTVNPFVA和CTAP1的对接实验非常孔显示2 H键,其结合能量为-1.88kcal / mol和其他表位的结合状态,形成没有H键,其结合能量为-1.13 kcal / mol的结合能量CTAP1腔面积。这些结果显示了CTAP1通道上的表位的平滑转移。总体而言,鉴定的肽具有潜在的应用在基于短肽的疫苗和日本脑炎的诊断剂的设计和开发中。

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