ArticlePloS one2025
Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed.
- Design and computational evaluation of a prophylactic and therapeutic multi-epitope vaccine candidate against cervical cancer.Virology journal · 2026Article
- Immunoinformatics-Based Multi-Epitope Vaccine Targeting Helicobacter Pylori.Cancer reports (Hoboken, N.J.) · 2026Article
- Review
- Designing a multi-epitope vaccine against the midgut-specific fibrinogen-related protein 1(FREP1) of Anopheles stephensi to enhance protection against the malaria parasite: a step beyond traditional vaccine development approaches.Biotechnology letters · 2025Article
- Retraction: Immunoinformatic strategy for developing multi-epitope subunit vaccine against Helicobacter pylori.PloS one · 2025Article
Corrections and comments
- Retraction · 2025-05-01Compromised Peer Review · Concerns/Issues about Authorship/Affiliation · Investigation by Journal/Publisher · Objections by Author(s) ·
- Retracted
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Helicobacter pylori is a gram-negative bacterium that persistently infects the human stomach, leading to peptic ulcers, gastritis, and an increased risk of gastric cancer. The extremophilic characteristics of this bacterium make it resistant to current drug treatments, and there are no licensed vaccines available against H. pylori. Computational approaches offer a viable alternative for designing antigenic, stable, and safe vaccines to control infections caused by this pathogen. In this study, we employed an immunoinformatic strategy to design a set of candidate multi-epitope subunit vaccines by combining the most potent B and T cell epitopes from three targeted antigenic proteins (BabA, CagA, and VacA). Out of the 12 hypothetical vaccines generated, two (HP_VaX_V1 and HP_VaX_V2) were found to be strongly immunogenic, non-allergenic, and structurally stable. The proposed vaccine candidates were evaluated based on population coverage, molecular docking, immune simulations, codon adaptation, secondary mRNA structure, and in silico cloning. The vaccine candidates exhibited antigenic scores of 1.19 and 1.01, with 93.5% and 90.4% of the most rama-favored regions, respectively. HP_VaX_V1 and HP_VaX_V2 exhibited the strongest binding affinity towards TLR-7 and TLR-8, as determined by molecular docking simulations (ΔG = -20.3 and -20.9, respectively). Afterward, multi-scale normal mode analysis simulation revealed the structural flexibility and stability of vaccine candidates. Additionally, immune simulations showed elevated levels of cell-mediated immunity, while repeated exposure simulations indicated rapid antigen clearance. Finally, in silico cloning was performed using the expression vector pET28a (+) with optimized restriction sites to develop a viable strategy for large-scale production of the chosen vaccine constructs. These analyses suggest that the proposed vaccines may elicit potent immune responses against H. pylori, but laboratory validation is needed to verify their safety and immunogenicity.
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