De novo design and discovery of broad-spectrum affinity peptide ligands for influenza A vaccines

IF 3.8 2区 化学 Q1 BIOCHEMICAL RESEARCH METHODS
Zengquan Tian , Xiaoyan Dong , Yan Sun , Qinghong Shi
{"title":"De novo design and discovery of broad-spectrum affinity peptide ligands for influenza A vaccines","authors":"Zengquan Tian ,&nbsp;Xiaoyan Dong ,&nbsp;Yan Sun ,&nbsp;Qinghong Shi","doi":"10.1016/j.chroma.2025.465937","DOIUrl":null,"url":null,"abstract":"<div><div>Seasonal Influenza viruses, owing to their continued evolution and high level of contagion, present a significant threat to public health around world each year. Vaccination remains the most effective strategy for preventing complications of influenza virus infection, particularly for vulnerable populations such as elderly individuals, children, and individuals with underlying health conditions. In this study, we described the <em>de novo</em> design for the discovery of affinity ligands targeting the conserved receptor binding site (RBS) of the influenza virus hemagglutinin (HA). Based on three-round of molecular docking, three candidate peptides, pep1, pep3 and pep4, with top-rankings were identified. Molecular dynamic simulation and per-residue decomposition further revealed the different binding mechanisms of the three peptides with HA and the key residue's contribution to the binding. The result of microscale thermophoresis indicated that the three peptides had broad-spectrum affinity for various influenza A strains and, among them, pep1 had the highest binding affinity for HA (<em>K</em><sub>d</sub> = 0.58-0.73 μmol/L). By coupling pep1 onto Sepharose gels, the affinity gel was applied to the evaluation of the chromatographic performance in the purification of HA and influenza A vaccine from mimic egg- and mammalian-based feedstocks. A recovery of 68.3 %-72.2 % at the purity of 95.9 %-97.2 % was obtained in vaccine purification, demonstrating the excellent feature of the peptide ligand. This work provided new insight into the rational design of broad-spectrum affinity peptide targeting HA and the result has potential application in the production of influenza vaccines.</div></div>","PeriodicalId":347,"journal":{"name":"Journal of Chromatography A","volume":"1750 ","pages":"Article 465937"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chromatography A","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0021967325002857","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Seasonal Influenza viruses, owing to their continued evolution and high level of contagion, present a significant threat to public health around world each year. Vaccination remains the most effective strategy for preventing complications of influenza virus infection, particularly for vulnerable populations such as elderly individuals, children, and individuals with underlying health conditions. In this study, we described the de novo design for the discovery of affinity ligands targeting the conserved receptor binding site (RBS) of the influenza virus hemagglutinin (HA). Based on three-round of molecular docking, three candidate peptides, pep1, pep3 and pep4, with top-rankings were identified. Molecular dynamic simulation and per-residue decomposition further revealed the different binding mechanisms of the three peptides with HA and the key residue's contribution to the binding. The result of microscale thermophoresis indicated that the three peptides had broad-spectrum affinity for various influenza A strains and, among them, pep1 had the highest binding affinity for HA (Kd = 0.58-0.73 μmol/L). By coupling pep1 onto Sepharose gels, the affinity gel was applied to the evaluation of the chromatographic performance in the purification of HA and influenza A vaccine from mimic egg- and mammalian-based feedstocks. A recovery of 68.3 %-72.2 % at the purity of 95.9 %-97.2 % was obtained in vaccine purification, demonstrating the excellent feature of the peptide ligand. This work provided new insight into the rational design of broad-spectrum affinity peptide targeting HA and the result has potential application in the production of influenza vaccines.
甲型流感疫苗广谱亲和肽配体的重新设计和发现
季节性流感病毒由于其不断演变和传染程度高,每年对世界各地的公共卫生构成重大威胁。疫苗接种仍然是预防流感病毒感染并发症的最有效策略,特别是对老年人、儿童和有潜在健康问题的个人等脆弱人群。在这项研究中,我们描述了发现流感病毒血凝素(HA)保守受体结合位点(RBS)的亲和力配体的从头设计。通过三轮分子对接,确定了3个排名靠前的候选肽:pep1、pep3和pep4。分子动力学模拟和残基分解进一步揭示了三种多肽与HA的不同结合机制以及关键残基对结合的贡献。微尺度热电泳结果表明,3种多肽对多种甲型流感病毒株具有广谱亲和力,其中pep1对HA的结合亲和力最高(Kd = 0.58 ~ 0.73 μmol/L)。通过将pep1偶联到Sepharose凝胶上,该亲和凝胶用于评价从模拟鸡蛋和哺乳动物原料中纯化HA和甲型流感疫苗的色谱性能。在疫苗纯化中,回收率为68.3% - 72.2%,纯度为95.9% - 97.2%,证明了该肽配体的优良特性。本研究为合理设计靶向HA的广谱亲和肽提供了新的思路,该结果在流感疫苗的生产中具有潜在的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Chromatography A
Journal of Chromatography A 化学-分析化学
CiteScore
7.90
自引率
14.60%
发文量
742
审稿时长
45 days
期刊介绍: The Journal of Chromatography A provides a forum for the publication of original research and critical reviews on all aspects of fundamental and applied separation science. The scope of the journal includes chromatography and related techniques, electromigration techniques (e.g. electrophoresis, electrochromatography), hyphenated and other multi-dimensional techniques, sample preparation, and detection methods such as mass spectrometry. Contributions consist mainly of research papers dealing with the theory of separation methods, instrumental developments and analytical and preparative applications of general interest.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信