• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于预防人偏肺病毒(hMPV)的嵌合多表位疫苗的免疫信息学设计

Immunoinformatic design of chimeric multiepitope vaccine for the prevention of human metapneumovirus (hMPV).

作者信息

Ehsasatvatan Maryam, Kohnehrouz Bahram Baghban, Salavatizadeh Mohammad

机构信息

Department of Plant Breeding & Biotechnology, Faculty of Agriculture, University of Tabriz, Tabriz, 51666, Iran.

Department of Pediatric Diseases, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran.

出版信息

BMC Infect Dis. 2025 Jul 30;25(1):964. doi: 10.1186/s12879-025-11339-x.

DOI:10.1186/s12879-025-11339-x
PMID:40739488
Abstract

BACKGROUND

Human metapneumovirus (hMPV) is a significant etiological agent of acute respiratory infections in children and immunocompromised individuals. Despite its growing clinical impact, no approved vaccines or targeted antiviral therapies are currently available.

METHODS

An immunoinformatic approach was employed to design a chimeric multi-epitope vaccine candidate against hMPV. Conserved and virulence-associated proteins were analyzed to predict highly antigenic B cell, cytotoxic T lymphocyte (CTL), and helper T lymphocyte (HTL) epitopes. The selected epitopes were screened for antigenicity, non-toxicity, non-allergenicity, and lack of homology to human proteins. The final construct included six B cell epitopes, six CTL epitopes, and two HTL epitopes, linked with appropriate adjuvants and Toll-like receptor (TLR) agonists. Structural modeling, molecular docking, and molecular dynamics simulations were conducted to evaluate the stability and receptor binding. Immunogenicity and expression potential were assessed through in silico immune simulation and codon optimization for expression in Escherichia coli.

RESULTS

All selected epitopes showed high antigenicity with no allergenic or toxicity. Structural validation indicated a stable vaccine construct with favorable physicochemical properties. Molecular docking analysis predicted a high binding affinity between the vaccine construct and TLR2/TLR4 receptors. Molecular dynamics (MD) simulations suggested that the docked complexes maintained stable interactions under simulated physiological conditions. In silico immune simulations predicted strong B- and T-cell responses following three doses. Codon adaptation analysis supported the high-level expression in E. coli.

CONCLUSION

The proposed multi-epitope vaccine demonstrates strong potential against hMPV, as supported by comprehensive computational analyses. Further experimental studies are required to validate its efficacy and safety.

摘要

背景

人偏肺病毒(hMPV)是儿童和免疫功能低下个体急性呼吸道感染的重要病原体。尽管其临床影响日益增大,但目前尚无获批的疫苗或靶向抗病毒疗法。

方法

采用免疫信息学方法设计一种针对hMPV的嵌合多表位疫苗候选物。分析保守蛋白和与毒力相关的蛋白,以预测高抗原性的B细胞、细胞毒性T淋巴细胞(CTL)和辅助性T淋巴细胞(HTL)表位。对所选表位进行抗原性、无毒性、无致敏性以及与人蛋白无同源性的筛选。最终构建体包含六个B细胞表位、六个CTL表位和两个HTL表位,与合适的佐剂和Toll样受体(TLR)激动剂相连。进行结构建模、分子对接和分子动力学模拟以评估稳定性和受体结合情况。通过计算机免疫模拟和密码子优化评估在大肠杆菌中表达的免疫原性和表达潜力,以实现在大肠杆菌中的表达。

结果

所有所选表位均显示出高抗原性,无致敏性或毒性。结构验证表明疫苗构建体稳定,具有良好的理化性质。分子对接分析预测疫苗构建体与TLR2/TLR4受体之间具有高结合亲和力。分子动力学(MD)模拟表明对接复合物在模拟生理条件下保持稳定的相互作用。计算机免疫模拟预测三剂接种后会产生强烈的B细胞和T细胞反应。密码子适应性分析支持在大肠杆菌中的高水平表达。

结论

综合计算分析表明,所提出的多表位疫苗对hMPV具有强大的潜力。需要进一步的实验研究来验证其有效性和安全性。

相似文献

1
Immunoinformatic design of chimeric multiepitope vaccine for the prevention of human metapneumovirus (hMPV).用于预防人偏肺病毒(hMPV)的嵌合多表位疫苗的免疫信息学设计
BMC Infect Dis. 2025 Jul 30;25(1):964. doi: 10.1186/s12879-025-11339-x.
2
Robust Multiepitope Vaccine from Glycoproteins Against Human Metapneumovirus Genotypes A2a, A2b, and A2c by Utilizing Immunoinformatics and Reverse Vaccinology Approaches.利用免疫信息学和反向疫苗学方法从糖蛋白构建针对人偏肺病毒A2a、A2b和A2c基因型的强效多表位疫苗
Viral Immunol. 2025 Jun;38(5):157-171. doi: 10.1089/vim.2025.0021. Epub 2025 May 22.
3
Immuno-informatics analyses of important esophageal cancer associated viruses for multi-epitope vaccine design.用于多表位疫苗设计的重要食管癌相关病毒的免疫信息学分析
Front Immunol. 2025 Jul 8;16:1587224. doi: 10.3389/fimmu.2025.1587224. eCollection 2025.
4
Computational design of a multi-epitope mRNA vaccine against orthopoxviruses: A path toward comprehensive poxvirus protection.针对正痘病毒的多表位mRNA疫苗的计算设计:实现全面痘病毒防护的途径。
Comput Biol Med. 2025 Sep;196(Pt A):110764. doi: 10.1016/j.compbiomed.2025.110764. Epub 2025 Jul 14.
5
Design of a multi-epitope Zika virus vaccine candidate - an study.多表位寨卡病毒疫苗候选物的设计 - 一项研究。
J Biomol Struct Dyn. 2023 Jun;41(9):3762-3771. doi: 10.1080/07391102.2022.2055648. Epub 2022 Mar 23.
6
Immunoinformatics-Based development of a Multi-Epitope vaccine candidate targeting coinfection by Klebsiella pneumoniae and Acinetobacter baumannii.基于免疫信息学开发针对肺炎克雷伯菌和鲍曼不动杆菌共感染的多表位疫苗候选物。
BMC Infect Dis. 2025 Jul 3;25(1):894. doi: 10.1186/s12879-025-11242-5.
7
An in-silico design of a multi-epitope vaccine candidate against Human metapneumovirus (HMPV) through prediction of B- and T-cell epitopes and molecular dynamics simlation.通过预测B细胞和T细胞表位以及分子动力学模拟对人偏肺病毒(HMPV)多表位候选疫苗进行计算机辅助设计。
Hum Immunol. 2025 Jul 28;86(5):111557. doi: 10.1016/j.humimm.2025.111557.
8
Development of a Broad-Spectrum Pan-Mpox Vaccine via Immunoinformatic Approaches.通过免疫信息学方法开发广谱泛痘疫苗。
Int J Mol Sci. 2025 Jul 25;26(15):7210. doi: 10.3390/ijms26157210.
9
Immunoinformatic development of a multiepitope messenger RNA vaccine targeting lipoate protein ligase and dihydrolipoamide dehydrogenase proteins of in cattle.牛中靶向硫辛酸蛋白连接酶和二氢硫辛酰胺脱氢酶蛋白的多表位信使核糖核酸疫苗的免疫信息学研发
Vet World. 2025 Jun;18(6):1675-1684. doi: 10.14202/vetworld.2025.1675-1684. Epub 2025 Jun 19.
10
In silico designing of multi-epitope vaccine against canine parvovirus using reverse vaccinology.利用反向疫苗学技术设计犬细小病毒多表位疫苗
Braz J Microbiol. 2024 Sep;55(3):2953-2968. doi: 10.1007/s42770-024-01442-7. Epub 2024 Jul 26.

引用本文的文献

1
Correction: Immunoinformatic design of chimeric multiepitope vaccine for the prevention of human metapneumovirus (hMPV).更正:用于预防人偏肺病毒(hMPV)的嵌合多表位疫苗的免疫信息学设计。
BMC Infect Dis. 2025 Sep 2;25(1):1093. doi: 10.1186/s12879-025-11493-2.

本文引用的文献

1
The global burden of human metapneumovirus-associated acute respiratory infections in older adults: a systematic review and meta-analysis.老年人中与人类偏肺病毒相关的急性呼吸道感染的全球负担:一项系统评价和荟萃分析。
Lancet Healthy Longev. 2025 Feb;6(2):100679. doi: 10.1016/j.lanhl.2024.100679. Epub 2025 Feb 12.
2
Designing and immunomolecular analysis of a new broad-spectrum multiepitope vaccine against divergent human papillomavirus types.针对多种不同人类乳头瘤病毒类型的新型广谱多表位疫苗的设计及免疫分子分析
PLoS One. 2024 Dec 2;19(12):e0311351. doi: 10.1371/journal.pone.0311351. eCollection 2024.
3
Designing multi-epitope vaccine against human cytomegalovirus integrating pan-genome and reverse vaccinology pipelines.
整合全基因组和反向疫苗学流程设计针对人巨细胞病毒的多表位疫苗
Biologicals. 2024 Aug;87:101782. doi: 10.1016/j.biologicals.2024.101782. Epub 2024 Jul 13.
4
Integrating pan-genome and reverse vaccinology to design multi-epitope vaccine against Herpes simplex virus type-1.整合泛基因组和反向疫苗学以设计针对单纯疱疹病毒1型的多表位疫苗。
3 Biotech. 2024 Jul;14(7):176. doi: 10.1007/s13205-024-04022-6. Epub 2024 Jun 5.
5
Accurate structure prediction of biomolecular interactions with AlphaFold 3.利用 AlphaFold 3 进行生物分子相互作用的精确结构预测。
Nature. 2024 Jun;630(8016):493-500. doi: 10.1038/s41586-024-07487-w. Epub 2024 May 8.
6
Immunoinformatics design of a structural proteins driven multi-epitope candidate vaccine against different SARS-CoV-2 variants based on fynomer.基于 fynomer 的针对不同 SARS-CoV-2 变体的结构蛋白驱动的多表位候选疫苗的免疫信息学设计。
Sci Rep. 2024 May 4;14(1):10297. doi: 10.1038/s41598-024-61025-2.
7
DeepLoc 2.1: multi-label membrane protein type prediction using protein language models.DeepLoc 2.1:使用蛋白质语言模型进行多标签膜蛋白类型预测。
Nucleic Acids Res. 2024 Jul 5;52(W1):W215-W220. doi: 10.1093/nar/gkae237.
8
Development of a novel multi-epitope mRNA vaccine candidate to combat HMPV virus.研发一种新型多表位 mRNA 疫苗候选物以对抗 HMPV 病毒。
Hum Vaccin Immunother. 2023 Dec 15;19(3):2293300. doi: 10.1080/21645515.2023.2293300. Epub 2024 Jan 3.
9
BepiPred-3.0: Improved B-cell epitope prediction using protein language models.BepiPred-3.0:使用蛋白质语言模型改进 B 细胞表位预测。
Protein Sci. 2022 Dec;31(12):e4497. doi: 10.1002/pro.4497.
10
Immunoinformatics-Aided Design of a Peptide Based Multiepitope Vaccine Targeting Glycoproteins and Membrane Proteins against Monkeypox Virus.基于免疫信息学的猴痘病毒糖蛋白和膜蛋白多表位肽疫苗设计。
Viruses. 2022 Oct 27;14(11):2374. doi: 10.3390/v14112374.