Pangenomics-Driven Reverse Vaccinology for the Discovery of New Vaccine Candidates Against Bordetella pertussis.

IF 2.4 Q3 BIOCHEMICAL RESEARCH METHODS

Bioinformatics and Biology Insights Pub Date : 2026-04-19 eCollection Date: 2026-01-01 DOI:10.1177/11779322261442522

Majid Abdelouahab, Diawara Idrissa

{"title":"Pangenomics-Driven Reverse Vaccinology for the Discovery of New Vaccine Candidates Against Bordetella pertussis.","authors":"Majid Abdelouahab, Diawara Idrissa","doi":"10.1177/11779322261442522","DOIUrl":null,"url":null,"abstract":"Despite widespread vaccination, pertussis resurgence persists due to waning immunity and emerging resistant strains in Bordetella pertussis. This study employs a pangenomics-driven reverse vaccinology approach to identify novel vaccine candidates. Analyzing 160 genomes revealed a closed pan-genome, with approximately 60% conserved genes, including 3389 core genes of which 1312 participate in pathogen-specific pathways. Non-homologous proteins were identified by comparison against human and microbiome proteomes, yielding 205 candidates. Essentiality assessment via the Database of Essential Genes (DEG) refined this to 63 non-homologous essential proteins. A multi-criteria selection process evaluated purifiability based on physicochemical properties and transmembrane helices, accessibility (extracellular or secreted localization), and immunogenicity through antigenicity prediction and B-cell epitope mapping. This pipeline culminated in 11 high-potential vaccine targets. The in silico methodology offers rapidity, cost-effectiveness, and reduced side effects compared with conventional vaccinology, though experimental validation is essential for confirmation.","PeriodicalId":9065,"journal":{"name":"Bioinformatics and Biology Insights","volume":"20 ","pages":"11779322261442522"},"PeriodicalIF":2.4000,"publicationDate":"2026-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13103498/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics and Biology Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11779322261442522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}

引用次数: 0

Abstract

Despite widespread vaccination, pertussis resurgence persists due to waning immunity and emerging resistant strains in Bordetella pertussis. This study employs a pangenomics-driven reverse vaccinology approach to identify novel vaccine candidates. Analyzing 160 genomes revealed a closed pan-genome, with approximately 60% conserved genes, including 3389 core genes of which 1312 participate in pathogen-specific pathways. Non-homologous proteins were identified by comparison against human and microbiome proteomes, yielding 205 candidates. Essentiality assessment via the Database of Essential Genes (DEG) refined this to 63 non-homologous essential proteins. A multi-criteria selection process evaluated purifiability based on physicochemical properties and transmembrane helices, accessibility (extracellular or secreted localization), and immunogenicity through antigenicity prediction and B-cell epitope mapping. This pipeline culminated in 11 high-potential vaccine targets. The in silico methodology offers rapidity, cost-effectiveness, and reduced side effects compared with conventional vaccinology, though experimental validation is essential for confirmation.

查看原文本刊更多论文

泛基因组学驱动的反向疫苗学发现对抗百日咳博德氏杆菌的新候选疫苗。

尽管广泛接种疫苗，百日咳死灰复燃持续，由于免疫力下降和百日咳博德泰拉出现耐药菌株。本研究采用泛基因组学驱动的反向疫苗学方法来鉴定新的候选疫苗。通过对160个基因组的分析，发现了一个封闭的泛基因组，保守基因约60%，包括3389个核心基因，其中1312个参与病原体特异性途径。通过与人类和微生物组蛋白质组的比较，鉴定出非同源蛋白，产生205个候选蛋白。通过必要基因数据库（DEG）进行必要评估，将其细化为63种非同源必需蛋白。基于理化性质和跨膜螺旋、可及性（细胞外或分泌定位）以及通过抗原性预测和b细胞表位定位的免疫原性，多标准选择过程评估了可纯化性。这一管道最终产生了11个高潜力疫苗靶点。与传统疫苗学相比，计算机方法提供了快速、成本效益和减少副作用的方法，尽管实验验证对于确认是必不可少的。

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

Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-

CiteScore

6.80

自引率

1.70%

发文量

审稿时长

8 weeks

期刊介绍： Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.