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MULTI-EPITOPE PEPTIDE VACCINE PREDICTION AGAINST NEWCASTLE DISEASE VIRUS USING IMMUNO-INFORMATICS APPROACHES

机译:使用免疫信息学方法对新城疫病毒的多表位肽疫苗预测

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Newcastle disease is one of the most critical disease in poultry and wild birds, largely due to its high morbidity and mortality, as well as its worldwide distribution and threat of considerable economic losses to avian industries caused by Newcastle disease virus (NDV). The NDV can cause clinical signs varying from subclinical infections to 100% mortality, depending on the susceptibility of the host and the virulence of the virus. The virus is classified into velogenic (viscerotropic velogenic and neurotropic velogenic), mesogenic and lentogenic. The objectives of this study was to design a peptide vaccine using immunoinformatics approaches. In total, 12 NDV fusion proteins retrieved from NCBI database were aligned to determine the conservancy and candidate epitopes were analysed by predictions tools from Immune Epitope Database. Then the 3D structure of the conserved region was modelled using the Swiss Model and aligned using PyMol software. Two epitopes were predicted as a peptide vaccine for B cell (DKAVNVYTSSQT and NMPKDKEACAKAPLEA). This is a preliminary study of designing an epitope-based peptide vaccine against NDV, and we recommend further study to identify the interaction between these peptides with T cells and antibodies.
机译:新城疫是家禽和野生鸟类中最关键的疾病之一,主要是由于其发病率和死亡率高,以及其全球分布和对新城疫病毒(NDV)造成的禽类行业相当经济损失的威胁。根据宿主的易感性和病毒的毒力,NDV可以使临床症状从亚临床感染到100%的死亡率不同。将病毒分为培条(静霉菌麝牛和神经疗法速率),脱源和乙戊酰基。本研究的目的是使用免疫信息学方法设计肽疫苗。总共从NCBI数据库检索的12个NDV融合蛋白对齐以确定通过免疫表位数据库的预测工具分析保护和候选表位。然后使用瑞士模型进行建模保守区域的3D结构,并使用Pymol软件对齐。预测两个表位作为B细胞的肽疫苗(DKavnvytssqt和NMPKdkeacakaplea)。这是设计针对NDV的基于表位的肽疫苗的初步研究,我们建议进一步研究以鉴定与T细胞和抗体之间的这些肽之间的相互作用。

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