Evidence map›Paper›PMID 41457476›Full record

ArticleCancer reports (Hoboken, N.J.)2026

Immunoinformatics-Based Multi-Epitope Vaccine Targeting Helicobacter Pylori.

Aytak Vahdat Khajeh Pasha, Mohammad Esfandiyari, Alireza Parnian, Mohammad Mahboubi-Rabbani, Maryam Bayanati

Abstract read
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Aytak Vahdat Khajeh PashaDepartment of Medicinal Chemistry, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID 0009-0005-2612-4647
Mohammad EsfandiyariDepartment of Medicinal Chemistry, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID 0009-0002-8905-9967
Alireza ParnianStudent Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0009-0002-6926-754X
Mohammad Mahboubi-RabbaniDepartment of Medicinal Chemistry, TeMS.C., Islamic Azad University, Tehran, Iran.ORCID 0000-0003-3512-7688
Maryam BayanatiPhytochemistry Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-1225-7538

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rising global incidence of Helicobacter pylori-related diseases, particularly gastric cancer, underscores the urgent need for effective preventive vaccines, motivating the exploration of innovative immunoinformatic strategies to address this public health challenge.

aimsThe aim of this study was to design a multi-epitope subunit vaccine for Helicobacter pylori using an immunoinformatics approach. Specifically, the objectives were to predict potential epitopes from the flagellin B and urease B proteins, integrate the cholera toxin B subunit (CTB) as a mucosal adjuvant, and perform computational validation of the vaccine construct for antigenicity, stability, and interaction with immune receptors.

methodsThis study utilized an immunoinformatics approach to design a multi-epitope subunit vaccine, involving epitope prediction from flagellin B and urease B, integration of the cholera toxin B subunit (CTB) as a mucosal adjuvant, and computational validation through tools like VaxiJen, Phyre2, MolProbity, and HDOCK for antigenicity, structure, and docking analysis.

resultsThe resulting vaccine construct comprises 406 amino acids with a molecular weight of 43 424.77 Da, exhibiting a predicted antigenic score of 1.0084, non-allergenic and non-toxic properties, and a stable physiochemical profile (instability index 23.51, GRAVY -0.425). Structural analysis suggested 99.1% (525/530) of residues in favored Ramachandran regions and 100.0% in allowed regions. Molecular docking with Toll-like receptor 5 (TLR5) indicated a superior docking score of -309.05 and a confidence score of 0.9601, outperforming TLR2 (-250.74), with 10 CTL epitopes (6 from flagellin B, 4 from urease B), 6 HTL epitopes, and 2 LBL epitopes linked by AAY, GPGPG, and KK linkers, respectively.

conclusionThis research provides a computationally optimized vaccine design that shows potential for eliciting immune responses against H. pylori. Importantly, the findings remain entirely theoretical and require rigorous experimental validation in vitro and in vivo to assess their immunological relevance, safety, and efficacy before any translational or clinical application can be considered.

Indexed as

Bacterial VaccinesComputational BiologyEpitopesHelicobacter InfectionsHelicobacter pyloriAdjuvants, ImmunologicCholera ToxinEpitopes, T-LymphocyteFlagellinHumansImmunoinformaticsMolecular Docking SimulationUreaseVaccines, SubunitAdjuvants, ImmunologicBacterial VaccinesCholera ToxinEpitopesEpitopes, T-LymphocyteFlagellinUreaseVaccines, Subunitgastric cancergene sequencesHelicobacter Pyloriimmunodominant epitopesimmunogenicityimmunoinformaticsmolecular dockingvaccine

Identifiers

PMID41457476
PMCPMC12745834

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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.