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免疫信息学驱动的方法用于开发针对[具体对象]分泌蛋白FlaC的潜在多表位疫苗。 (原文中“of.”后面缺少具体内容)

Immunoinformatics-driven approach for development of potential multi-epitope vaccine against the secreted protein FlaC of .

作者信息

Saravanan Deepak, Mohan Monisha

机构信息

School of Interdisciplinary Design and Innovation, Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram, Tamil Nadu, India.

出版信息

J Biomol Struct Dyn. 2025 Jul;43(11):5331-5342. doi: 10.1080/07391102.2024.2308766. Epub 2024 Jan 29.

DOI:10.1080/07391102.2024.2308766
PMID:38287490
Abstract

causes a leading human gastrointestinal infection which is associated with foodborne diarrhea, stomach cramping, and fever. In the recent years, numerous multidrug-resistant strains of has evolved and is considered in the priority pathogens category. Therefore, an increasing demand exists to develop an effective vaccine against Campylobacteriosis. The T cell and B cell epitopes from the FlaC protein were predicted using comprehensive immunoinformatics tools. The predicted epitopes were chosen based on their antigenicity, allergenicity, and toxicity profiles. Using the bioinformatics approach various physicochemical properties of the constructed vaccine were determined. The molecular docking analysis of the vaccine with the TLRs demonstrated that TLR5 has a higher binding affinity of -1159.0 kcal/mol. Molecular dynamics simulation has confirmed the stable association of the vaccine with TLR5. The immune response of the constructed vaccine was validated using immunostimulation. Based on this study, we recommend the formulation of a multi-epitope vaccine as a promising agent to effectively combat the dreadful campylobacteriosis infection.

摘要

它会引发一种主要的人类胃肠道感染,与食源性腹泻、胃部绞痛和发热有关。近年来,已出现众多对多种药物耐药的菌株,并且它被列入优先病原体类别。因此,开发一种有效的抗弯曲杆菌病疫苗的需求日益增加。使用综合免疫信息学工具预测了来自FlaC蛋白的T细胞和B细胞表位。根据预测表位的抗原性、致敏性和毒性概况进行选择。利用生物信息学方法确定了构建疫苗的各种物理化学性质。疫苗与Toll样受体(TLR)的分子对接分析表明,TLR5具有更高的结合亲和力,为-1159.0千卡/摩尔。分子动力学模拟证实了疫苗与TLR5的稳定结合。使用免疫刺激验证了构建疫苗的免疫反应。基于这项研究,我们推荐将多表位疫苗制剂作为一种有前景的药物,以有效对抗可怕的弯曲杆菌病感染。

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