ArticleFrontiers in immunology2017
Identification of New Features from Known Bacterial Protective Vaccine Antigens Enhances Rational Vaccine Design.
Article in Frontiers in immunology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning.Frontiers in immunology · 2020Pooled it
- AntiPan: a genome-informed in silico pipeline for advancing subunit vaccine discovery against Staphylococcus aureus.Scientific reports · 2026Article
- B-cell epitope prediction in the age of machine learning: advancements and challenges.Journal of translational medicine · 2026Review
- Systematic annotation and analysis of susceptibility genes associated with vaccine adverse events.BMC medical genomics · 2025Article
- Systematic collection, annotation, and pattern analysis of viral vaccines in the VIOLIN vaccine knowledgebase.Frontiers in cellular and infection microbiology · 2025Article
- Proteomic approach to identify host cell attachment proteins provides protective Pseudomonas aeruginosa vaccine antigen FtsZ.NPJ vaccines · 2024Article
- PBITProtein science : a publication of the Protein Society · 2024Article
- BacScan: a novel genome-wide strategy for uncovering broadly immunogenic proteins in bacteria.Frontiers in immunology · 2024Article
- Unveiling promising immunogenic targets in Coxiella burnetii through in silico analysis: paving the way for novel vaccine strategies.BMC infectious diseases · 2023Article
- Review
- COVID-19 vaccine design using reverse and structural vaccinology, ontology-based literature mining and machine learning.Briefings in bioinformatics · 2022Article
- Comparative Reverse Vaccinology ofVaccines · 2022Article
- Vaccine Design by Reverse Vaccinology and Machine Learning.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Screening of potential vaccine candidates against pathogenic Brucella spp. using compositive reverse vaccinology.Veterinary research · 2021Article
- Reverse Microbiomics: A New Reverse Dysbiosis Analysis Strategy and Its Usage in Prediction of Autoantigens and Virulent Factors in Dysbiotic Gut Microbiomes From Rheumatoid Arthritis Patients.Frontiers in microbiology · 2021Article
- Vaxign-ML: supervised machine learning reverse vaccinology model for improved prediction of bacterial protective antigens.Bioinformatics (Oxford, England) · 2020Article
- COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning.bioRxiv : the preprint server for biology · 2020Article
- Emerging Concepts and Technologies in Vaccine Development.Frontiers in immunology · 2020Review
- VIO: ontology classification and study of vaccine responses given various experimental and analytical conditions.BMC bioinformatics · 2019Article
- Molecular features of lipoprotein CD0873: A potential vaccine against the human pathogenThe Journal of biological chemistry · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
With many protective vaccine antigens reported in the literature and verified experimentally, how to use the knowledge mined from these antigens to support rational vaccine design and study underlying design mechanism remains unclear. In order to address the problem, a systematic bioinformatics analysis was performed on 291 Gram-positive and Gram-negative bacterial protective antigens with experimental evidence manually curated in the Protegen database. The bioinformatics analyses evaluated included subcellular localization, adhesin probability, peptide signaling, transmembrane α-helix and β-barrel, conserved domain, Clusters of Orthologous Groups, and Gene Ontology functional annotations. Here we showed the critical role of adhesins, along with subcellular localization, peptide signaling, in predicting secreted extracellular or surface-exposed protective antigens, with mechanistic explanations supported by functional analysis. We also found a significant negative correlation of transmembrane α-helix to antigen protectiveness in Gram-positive and Gram-negative pathogens, while a positive correlation of transmembrane β-barrel was observed in Gram-negative pathogens. The commonly less-focused cytoplasmic and cytoplasmic membrane proteins could be potentially predicted with the help of other selection criteria such as adhesin probability and functional analysis. The significant findings in this study can support rational vaccine design and enhance our understanding of vaccine design mechanisms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.