In silico prediction of B-cell and T-cell epitope of Ves g 5 and Vesp m 5 allergens

Kuldeepkumar Singh, T. Khandagale, Akshit Puri, Sangeeta Sinha
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Abstract

BACKGROUND: Hymenoptera venom allergy is one of the leading insect allergies in which allergens that promote IgE-mediated immune responses cause mild-to-severe reactions. Vespula germanica has a high spread rate and invades many regions of the world, while Vespa mandarinia has caused many fatalities in Asian countries including India. Ves g 5 and Vesp m 5 are important allergens of V. germanica and V. mandarinia, respectively, which cause allergenic reactions. AIM: This study aimed to predict the B- and T-cell epitopes of allergens Ves g 5 and Vesp m 5 using computational tools. MATERIALS AND METHODS: ProtParam, Jalview, and Swiss-Model analyzed the physiochemical, allergen sequence and 3D model. BepiPred-2.0, ABCPred, and ElliPro predicted B-cell epitopes, while Immune Epitope Database major histocompatibility complex-II binding prediction tool and CD4+ T-cell immunogenicity prediction tool were used to predict and confirm immunogenic T-cell epitopes RESULTS: Nine linear and four discontinuous B-cell epitopes were predicted for the Ves g 5 allergen and ten linear and five discontinuous B-cell epitopes were predicted for the Vesp m 5 allergen. Four and three T-cell epitopes were predicted for the allergens Ves g 5 and Vesp m 5, showing efficient binding and immunogenicity, respectively. CONCLUSION: Venom immunotherapy used as a treatment for HVA shows few fatal reactions and side effects, hence epitope-based vaccines or therapies are necessary. These results can be further used in the process of better immunotherapy and peptide-based vaccine design as well as to understand the etiology of Ves g 5 and Vesp m 5 allergens.
vesp5和vesp5变应原b细胞和t细胞表位的计算机预测
背景:膜翅目毒液过敏是一种主要的昆虫过敏,其中过敏原促进ige介导的免疫反应引起轻到严重的反应。德国Vespa传播率高,入侵世界许多地区,而中国Vespa mandarinia在包括印度在内的亚洲国家造成了许多死亡。Vesp 5和Vesp 5分别是德国弧菌和mandarinia弧菌的重要过敏原,引起过敏反应。目的:本研究旨在利用计算工具预测过敏原vespm5和vespm5的B细胞和t细胞表位。材料与方法:ProtParam、Jalview和Swiss-Model分析理化、过敏原序列和三维模型。使用免疫表位数据库主要组织相容性复合体- ii结合预测工具和CD4+ t细胞免疫原性预测工具预测和确认免疫原性t细胞表位。结果:预测到9个线性和4个不连续的b细胞表位,预测到10个线性和5个不连续的b细胞表位。预测了4个和3个t细胞表位,分别显示了有效的结合和免疫原性。结论:用于HVA治疗的蛇毒免疫疗法几乎没有致命反应和副作用,因此基于表位的疫苗或疗法是必要的。这些结果可以进一步用于更好的免疫治疗和基于肽的疫苗设计过程,以及了解vesp5和vesp5过敏原的病因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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