用于耐药卡他莫拉菌疫苗设计的膜蛋白计算鉴定。

IF 2.1 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Fizza Arshad, Rania Pervaiz, Asifa Sarfraz, Hasan Ejaz, Amal Alotaibi, Riaz Ullah, Umar Nishan, Abid Ali, Muhammad Umer Khan, Mohibullah Shah
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引用次数: 0

摘要

卡他莫拉菌是一种革兰氏阴性双球菌细菌,也是一种常见的呼吸道病原体,与15-20%的儿童中耳炎(OM)和成人慢性阻塞性肺疾病(COPD)有关。耐药卡他莫拉菌的增加突出表明迫切需要强有力的疫苗战略来减轻其临床负担。尽管死亡率为13%,但目前还没有fda批准的针对这种病原体的疫苗。本研究的目的是利用免疫信息学驱动的减法蛋白质组学和反向疫苗学方法,通过计算鉴定新的抗原,并设计一种基于多表位肽的抗卡他性支原体的候选疫苗。分析了12个卡塔氏分枝杆菌基因组的核心蛋白质组,鉴定出360个宿主非同源蛋白。随后的筛选发现了30种代谢途径依赖性和7种独立的药物靶点,以及7种膜和细胞外蛋白作为潜在的候选疫苗。优选蛋白靶点WP_081569984.1进行疫苗设计。预测的b细胞、MHC-I和MHC-II表位使用佐剂和连接物连接,构建四种候选疫苗(V1-V4)。对这些构建物进行了理化性质、过敏原性、抗原性、二级结构和免疫受体相互作用的评估。结果,V1成为最有希望的候选人。分子对接和分子动力学(MD)模拟评估了V1与人类toll样受体(TLR2和TLR3)的相互作用。包括RMSD、RMSF、旋转半径(Rg)、SASA、结合自由能(MM-PBSA)、PCA、自由能景观和DCCM在内的MD轨迹显示,疫苗与TLR受体具有较强的相互作用。免疫模拟预测了针对拟议疫苗的显著免疫反应。此外,该疫苗结构在大肠杆菌质粒载体(pET-28a(+))中进行了计算机测试,以确定其克隆潜力。这些发现突出了所提出的多表位疫苗V1作为一种安全有效的预防卡他卡氏分枝杆菌相关感染的策略的潜力,并为未来的体外、体内和临床研究奠定了基础,以验证其免疫原性和保护功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational identification of membrane proteins for vaccine design against drug-resistant Moraxella catarrhalis.

Moraxella catarrhalis is a Gram-negative diplococcus bacterium and a common respiratory pathogen, implicated in 15-20% of otitis media (OM) cases in children and chronic obstructive pulmonary disease (COPD) in adults. The rise of drug-resistant Moraxella catarrhalis has highlighted the urgent need for the potent vaccine strategies to reduce its clinical burden. Despite a mortality rate of 13%, there is no FDA-approved vaccine for this pathogen. The aim of this study was to computationally identify novel antigens and design a multi-epitope peptide-based vaccine candidate against M. catarrhalis using an immunoinformatics-driven subtractive proteomics and reverse vaccinology approaches. The core proteome of 12 M. catarrhalis genomes were analyzed, identifying 360 host non-homologous proteins. Subsequent screening revealed 30 metabolic pathway-dependent and 7 independent drug targets, along with 7 membrane and extracellular proteins as potential vaccine candidates. A prioritized protein target (WP_081569984.1) was selected for vaccine design. The predicted B-cell, MHC-I, and MHC-II epitopes were linked using adjuvants and linkers to construct four vaccine candidates (V1-V4). These constructs were assessed for physicochemical properties, allergenicity, antigenicity, secondary structures, and immune receptor interactions. As a result, V1 emerged as the most promising candidate. Molecular docking and molecular dynamics (MD) simulations evaluated the interactions of V1 with human toll-like receptors (TLR2 and TLR3). MD trajectories including RMSD, RMSF, Radius of gyration (Rg), SASA, binding free energy (MM-PBSA), PCA, free energy landscapes, and DCCM, showed a strong interaction of vaccine with the TLR recptors. Immune simulations predicted significant immune responses against the proposed vaccine. Additionally, the vaccine construct was in-silico tested in an E. coli plasmid vector (pET-28a(+) for its cloning potential. These findings highlight the potential of the proposed multi-epitope vaccine V1 as a safe and effective preventive strategy against M. catarrhalis-associated infections, and additionally laid the groundwork for future in vitro, in vivo, and clinical studies to validate its immunogenicity and protective efficacy.

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来源期刊
Molecular Genetics and Genomics
Molecular Genetics and Genomics 生物-生化与分子生物学
CiteScore
5.10
自引率
3.20%
发文量
134
审稿时长
1 months
期刊介绍: Molecular Genetics and Genomics (MGG) publishes peer-reviewed articles covering all areas of genetics and genomics. Any approach to the study of genes and genomes is considered, be it experimental, theoretical or synthetic. MGG publishes research on all organisms that is of broad interest to those working in the fields of genetics, genomics, biology, medicine and biotechnology. The journal investigates a broad range of topics, including these from recent issues: mechanisms for extending longevity in a variety of organisms; screening of yeast metal homeostasis genes involved in mitochondrial functions; molecular mapping of cultivar-specific avirulence genes in the rice blast fungus and more.
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