Predicting immune response targets in orthoflaviviruses through sequence homology and computational analysis.

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Venkata N Are, Rajarshi Roy, Sandeep Kumar Dhanda, Sanchit Neema, Neha Rani Sahu, Nitin Adithya, Ritudhwaj Tiwari, Parimal Kar, Debasis Nayak
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Abstract

Context: Flaviviruses cause severe encephalitic or hemorrhagic diseases in humans. Its members, Kyasanur forest disease virus (KFDV) and Alkhumra hemorrhagic fever virus (ALKV), cause hemorrhagic fever and are prevalent in India and Saudi Arabia, respectively, while the tick-borne encephalitis virus (TBEV) causes a dangerous encephalitic infection in Europe and Asia. However, little information is available about the targets of immune responses for these deadly viruses. Here, we predict potential antigenic peptide epitopes of viral envelope protein for inducing a cell-mediated and humoral immune response.

Methods: Using the Immune Epitope Database and Analysis Resource (IEDB-AR), we identified 13 MHC-I and two MHC-II dominant conserved epitopes in KFDV and ALKV and six MHC-I and three MHC-II epitopes in TBEV envelope proteins. Parallelly, we also predicted B-cell linear and discontinuous envelope protein epitopes for these viruses. Interestingly, the epitopes are conserved in all three viral envelope proteins. Further, the discontinuous epitopes are structurally compared with the available DENV, ZIKV, WNV, TBEV, and LIV envelope protein antibody structures. Overall structural comparison analyses highlight (i) lateral ridge epitope in the ED-III domain of E protein, and (ii) envelope dimer epitope (EDE) could be targeted for developing potent vaccine candidates as well as therapeutic antibody production. Moreover, existing structural and biochemical functions of the same epitopes in homologous viruses are predicted to have a reduced antibody-dependent enhancement (ADE) effect on flaviviral infection.

Abstract Image

通过序列同源性和计算分析预测正黄病毒的免疫反应目标。
背景:黄病毒会导致人类患上严重的脑炎或出血性疾病。其成员 Kyasanur 森林病病毒(KFDV)和 Alkhumra 出血性热病毒(ALKV)可导致出血热,分别在印度和沙特阿拉伯流行,而蜱传脑炎病毒(TBEV)可在欧洲和亚洲导致危险的脑炎感染。然而,有关这些致命病毒的免疫反应靶点的信息却很少。在此,我们预测了病毒包膜蛋白诱导细胞介导和体液免疫反应的潜在抗原肽表位:方法:利用免疫表位数据库和分析资源(IEDB-AR),我们在 KFDV 和 ALKV 中发现了 13 个 MHC-I 表位和 2 个 MHC-II 表位,在 TBEV 包膜蛋白中发现了 6 个 MHC-I 表位和 3 个 MHC-II 表位。同时,我们还预测了这些病毒的 B 细胞线性和非连续包膜蛋白表位。有趣的是,这些表位在所有三种病毒包膜蛋白中都是保守的。此外,不连续表位与现有的 DENV、ZIKV、WNV、TBEV 和 LIV 包膜蛋白抗体结构进行了结构比较。整体结构对比分析突出表明:(i)E 蛋白 ED-III 结构域中的侧脊表位;(ii)包膜二聚体表位(EDE)可作为开发强效候选疫苗和生产治疗性抗体的目标。此外,同源病毒中相同表位的现有结构和生化功能预计会降低抗体依赖性增强(ADE)对黄病毒感染的影响。
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来源期刊
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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