A Multi-Domain Approach for Designing of Novel Epitopes-Based Vaccine Against Chandipura Virus

IF 2.7 4区 医学 Q2 PHARMACOLOGY & PHARMACY
Alhanouf I. Al-Harbi, Raed Amer Ali Alsahoo, Asad Ullah, Sajjad Ahmad
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引用次数: 0

Abstract

Chandipura virus (CHPV), a member of the Rhabdoviridae family, poses a significant global health threat due to its association with acute encephalitis outbreaks, particularly among children. With its high fatality rate and recurrent incidences in endemic areas. The absence of an approved vaccine highlights the critical need for advanced approaches to address CHPV infections. In this study, integrated strategies, including reverse vaccinology, molecular docking, and molecular dynamics (MD) simulations, were used to identify novel epitopes for vaccine design against CHPV. In subtractive proteomic analysis, four proteins > YP_007641377.1 nucleocapsid protein, > YP_007641379.1 matrix protein, > YP_007641380.1 glycoprotein, and > YP_007641381.1 large protein, were chosen for epitope prediction, and both B cells and T cells were predicted. The predicted epitopes were further subjected to immunoinformatics screening, and eight epitopes were shortlisted for vaccine construction. The epitopes were linked by the GPGPG linker and additionally attached with Cholera Toxin B subunit (CTB) adjuvant by the EAAAK linker to improve the efficacy of the vaccine construct. The vaccine construct was further subjected to structure prediction and biophysics studies. In molecular docking analysis, the best docking interactions were indicated by the weighted scores and the lowest energy values. Notably, in the case of vaccine MHC-I, cluster 12 showed the most favorable binding with the lowest energy score of -838.0 kcal/mol. In the case of vaccine MHC-II, cluster 7 demonstrated the most stable interaction, with the lowest energy value of -948.7 kcal/mol, while in the case of vaccine TLR-4. Cluster 4 exhibited the most favorable binding, with both the weighted and lowest energy scores at -1175.3 kcal/mol, indicating a highly stable interaction. Moreover, the dynamic behavior of the docked molecules was further analyzed through (MD) simulations. The simulation analysis unveils that the vaccine construct and the target receptor binding affinity are stable during 50 simulation periods.

基于表位的新型钱迪普拉病毒疫苗多域设计方法
昌迪普拉病毒(CHPV)是横纹肌病毒科的一员,由于与急性脑炎暴发有关,特别是在儿童中,对全球健康构成重大威胁。由于其高致死率和在流行地区的反复发病率。由于缺乏获批的疫苗,因此迫切需要采用先进的方法来应对CHPV感染。在这项研究中,综合策略,包括反向疫苗学,分子对接和分子动力学(MD)模拟,用于鉴定新的抗原表位,以设计针对CHPV的疫苗。在减法蛋白质组学分析中,选择4个蛋白>; YP_007641377.1核衣壳蛋白、>; YP_007641379.1基质蛋白、>; YP_007641380.1糖蛋白和>; YP_007641381.1大蛋白进行表位预测,预测B细胞和T细胞。对预测的表位进行免疫信息学筛选,筛选出8个表位用于疫苗构建。这些表位通过GPGPG连接体连接,并通过EAAAK连接体附加霍乱毒素B亚单位(CTB)佐剂,以提高疫苗构建的效力。疫苗结构进一步进行了结构预测和生物物理学研究。在分子对接分析中,最佳的对接相互作用用加权分数和最低能量值表示。值得注意的是,在疫苗MHC-I中,簇12表现出最有利的结合,能量得分最低,为-838.0 kcal/mol。在疫苗MHC-II中,簇7表现出最稳定的相互作用,其能量值最低,为-948.7 kcal/mol,而在疫苗TLR-4中。簇4表现出最有利的结合,其加权和最低能量得分均为-1175.3 kcal/mol,表明相互作用高度稳定。此外,通过(MD)模拟进一步分析了停靠分子的动力学行为。模拟分析表明,在50个模拟周期内,疫苗结构和靶受体结合亲和力是稳定的。
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来源期刊
Journal of Pharmaceutical Innovation
Journal of Pharmaceutical Innovation PHARMACOLOGY & PHARMACY-
CiteScore
3.70
自引率
3.80%
发文量
90
审稿时长
>12 weeks
期刊介绍: The Journal of Pharmaceutical Innovation (JPI), is an international, multidisciplinary peer-reviewed scientific journal dedicated to publishing high quality papers emphasizing innovative research and applied technologies within the pharmaceutical and biotechnology industries. JPI''s goal is to be the premier communication vehicle for the critical body of knowledge that is needed for scientific evolution and technical innovation, from R&D to market. Topics will fall under the following categories: Materials science, Product design, Process design, optimization, automation and control, Facilities; Information management, Regulatory policy and strategy, Supply chain developments , Education and professional development, Journal of Pharmaceutical Innovation publishes four issues a year.
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