Evidence map›Paper›PMID 41449186›Full record

ArticleScientific reports2025

Immunoinformatics-based design of a next generation multi-epitope vaccine candidate against Shigella boydii using a hierarchical subtractive proteomics approach.

Khaled S Allemailem, Faris Alrumaihi, Ahmad Almatroudi

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

The trial behind it

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Pangenome-GuidedPharmaceuticals (Basel, Switzerland) · 2026
    Article
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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

3 authors.

Khaled S AllemailemDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, 51452, Saudi Arabia. k.allemailem@qu.edu.sa.
Faris AlrumaihiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, 51452, Saudi Arabia.
Ahmad AlmatroudiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University, Buraydah, 51452, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shigella boydii (strain CDC 3083-94 / BS512) is a Gram-negative facultative anaerobic bacterium that plays a significant role as a pathogen causing bacillary dysentery, especially in developing areas where hygiene is poor. Although less frequently reported compared to other Shigella species, S. boydii still contributes substantially to global shigellosis cases, particularly in low-income endemic regions. Despite its clinical relevance, there has been limited research dedicated on identifying strain-specific antigenic targets for vaccine development. The current study utilized the subtractive proteomics approach established on reverse vaccinology to develop a multi-epitope subunit vaccine (MEV) against S. boydii (strain CDC 3083-94 / BS512). From the proteome analysis, two key virulent and antigenic proteins were identified as possible vaccine candidates: the LPS-assembly protein LptD (B2U262) and the cell division protein FtsZ (B2U2A0). The B-cell and T-cell epitopes of these proteins were computationally predicted and sensibly evaluated based on a number of immunological standards, including as antigenicity, toxicity, allergenicity, solubility, and MHC binding affinity. To produce a multi-epitope vaccination, these designated epitopes were successively conjugated with an adjuvant and appropriate linkers. The vaccine construct underwent structural refinement, and the outcomes presented that an excellent structural model was constructed, with 89.4% of residues lying in promising Ramachandran plot areas. The vaccine construct and human Toll-like receptor 4 (TLR4) have shown considerable contact, according to molecular docking experiments, with a binding energy of - 1391.4 kcal/mol. With 50% GC content and a score of 0.9 from in silico cloning on Codon Adaptation Index, it is expressed to the maximum potential in an Escherichia coli host system. The outcomes highlight the multi-epitope vaccine's potential as a preventative measure against S. boydii-caused ailments.

Indexed as

Dysentery, BacillaryEpitopes, T-LymphocyteProteomicsShigella boydiiShigella VaccinesAntigens, BacterialBacterial ProteinsComputational BiologyEpitopes, B-LymphocyteHumansImmunoinformaticsMolecular Docking SimulationToll-Like Receptor 4Vaccine DevelopmentVaccines, SubunitAntigens, BacterialBacterial ProteinsEpitopes, B-LymphocyteEpitopes, T-LymphocyteShigella VaccinesToll-Like Receptor 4Vaccines, SubunitBacillary dysenteryImmunoinformaticsMulti-epitope vaccinePoor hygieneReverse vaccinologyShigella boydiiSubtractive proteomics

Identifiers

PMID41449186
PMCPMC12835280

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