禽传染性喉气管炎病毒糖蛋白B多表位疫苗预测的免疫信息学方法

Q1 Biochemistry, Genetics and Molecular Biology
Advances in Bioinformatics Pub Date : 2019-03-18 eCollection Date: 2019-01-01 DOI:10.1155/2019/1270485
Sumaia A Ali, Yassir A Almofti, Khoubieb A Abd-Elrahman
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引用次数: 17

摘要

传染性喉气管炎病毒(ILTV)是一种1型瘿状疱疹病毒,是Iltovirus属的一员。它引起上呼吸道感染,主要是气管感染,给全世界的家禽业造成重大经济损失。针对ILTV的疫苗接种产生了潜伏的感染载体鸟,这成为病毒传播给未接种疫苗的鸡群的来源。因此,本研究旨在利用免疫信息学工具设计针对ILT病毒糖蛋白B的安全多表位疫苗。从美国国家生物技术信息中心(NCBI)的GenBank中检索了44条包膜糖蛋白B全序列,并通过多序列比对(MSA)进行比对。利用免疫表位数据库(Immune Epitope Database, IEDB)的分析资源对候选表位进行预测和分析。对于B细胞表位,使用Bepipred预测了31个线性表位。然而,利用Emini表面可及性和抗原性分别发现8个表位存在于表面和抗原表位上。3个表位(190 KKLP 193, 386 YSSTHVRS 393, 317 KESV 320)被提出作为B细胞表位。在T细胞中,有几个表位与MHC I类具有高亲和力和特异性,但识别最好的表位是118 YVFNVTLYY 126、335 VSYKNSYHF 343和622 YLLYEDYTF 630。MHC-II结合表位301 FLTDEQFTI 309, 277 FLEIANYQV 285和743 IASFLSNPF 751由于其对MHC-II分子的高亲和力而被认为是有希望的表位。此外,MHC-1分子对接的配体表位与受体表现出较高的结合亲和力;BF鸡等位基因(BF2 2101和0401)表达的分子整体能量较低。本研究预测了9个表位作为ILTV的候选疫苗。需要进行体内和体外研究,通过临床试验来支持这些预测表位作为多肽疫苗的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Immunoinformatics Approach for Multiepitopes Vaccine Prediction against Glycoprotein B of Avian Infectious Laryngotracheitis Virus.

Immunoinformatics Approach for Multiepitopes Vaccine Prediction against Glycoprotein B of Avian Infectious Laryngotracheitis Virus.

Immunoinformatics Approach for Multiepitopes Vaccine Prediction against Glycoprotein B of Avian Infectious Laryngotracheitis Virus.

Immunoinformatics Approach for Multiepitopes Vaccine Prediction against Glycoprotein B of Avian Infectious Laryngotracheitis Virus.

Infectious laryngotracheitis virus (ILTV) is a gallid herpesvirus type 1, a member of the genus Iltovirus. It causes an infection in the upper respiratory tract mainly trachea which results in significant economic losses in the poultry industry worldwide. Vaccination against ILTV produced latent infected carriers' birds, which become a source of virus transmission to nonvaccinated flocks. Thus this study aimed to design safe multiepitopes vaccine against glycoprotein B of ILT virus using immunoinformatic tools. Forty-four sequences of complete envelope glycoprotein B were retrieved from GenBank of National Center for Biotechnology Information (NCBI) and aligned for conservancy by multiple sequence alignment (MSA). Immune Epitope Database (IEDB) analysis resources were used to predict and analyze candidate epitopes that could act as a promising peptide vaccine. For B cell epitopes, thirty-one linear epitopes were predicted using Bepipred. However eight epitopes were found to be on both surface and antigenic epitopes using Emini surface accessibility and antigenicity, respectively. Three epitopes ( 190 KKLP 193 , 386 YSSTHVRS 393 , and 317 KESV 320 ) were proposed as B cell epitopes. For T cells several epitopes were interacted with MHC class I with high affinity and specificity, but the best recognized epitopes were 118 YVFNVTLYY 126 , 335 VSYKNSYHF 343 , and 622 YLLYEDYTF 630 . MHC-II binding epitopes, 301 FLTDEQFTI 309 , 277 FLEIANYQV 285 , and 743 IASFLSNPF 751 , were proposed as promising epitopes due to their high affinity for MHC-II molecules. Moreover the docked ligand epitopes from MHC-1 molecule exhibited high binding affinity with the receptors; BF chicken alleles (BF2 2101 and 0401) expressed by the lower global energy of the molecules. In this study nine epitopes were predicted as promising vaccine candidate against ILTV. In vivo and in vitro studies are required to support the effectiveness of these predicted epitopes as a multipeptide vaccine through clinical trials.

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Advances in Bioinformatics
Advances in Bioinformatics Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
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