Evidence map›Paper›PMID 42663966›Full record

ArticleProbiotics and antimicrobial proteins2026

Toward a Vaccine Against Multidrug-Resistant Elizabethkingia anophelis: Comprehensive Immunoinformatics-Based Design of a Multi-Epitope Vaccine and mRNA Construct.

Muhammad Hanzala, Rana Zohaib Abbas, Mahnoor Habib, Allah Rakha Yaseen, Muhammad Suleman, Khalid J Alzahrani, Khalaf F Alsharif, Fuad M Alzahrani, Sehrish Firyal

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Article in Probiotics and antimicrobial proteins, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Muhammad HanzalaSchool of Engineering, Ulster University, York Street, Belfast, BT15 1AP, United Kingdom.
Rana Zohaib AbbasSchool of Engineering, Ulster University, York Street, Belfast, BT15 1AP, United Kingdom.
Mahnoor HabibSchool of Biological Sciences (SBS), University of the Punjab, Quaid-E-Azam Campus, Lahore, 54590, Pakistan.
Allah Rakha YaseenSchool of Biological Sciences (SBS), University of the Punjab, Quaid-E-Azam Campus, Lahore, 54590, Pakistan. 123allah.rakha@gmail.com.
Muhammad SulemanSchool of Biological Sciences (SBS), University of the Punjab, Quaid-E-Azam Campus, Lahore, 54590, Pakistan.
Khalid J AlzahraniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia.
Khalaf F AlsharifDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia.
Fuad M AlzahraniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia.
Sehrish FiryalInstitute of Biochemistry and Biotechnology (IBBT), University of Veterinary & Animal Sciences, Lahore, 54000, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elizabethkingia anophelis is a multidrug-resistant opportunistic pathogen associated with severe neonatal meningitis, sepsis, and hospital outbreaks, with high mortality rates and limited treatment options. In this study, a hybrid multi-epitope vaccine (MEV) was designed using an extensive immunoinformatics approach targeting four key outer membrane and secretion-associated proteins. Highly antigenic B-cell and T-cell (MHC-I and MHC-II) epitopes were predicted, rigorously screened for antigenicity, allergenicity, toxicity, and cytokine induction potential, and selected based on binding affinity and population coverage. The final MEV construct incorporated eight MHC-I, eight MHC-II, and eight B-cell epitopes linked with appropriate linkers, adjuvanted with Human Beta Defensin-3, and tagged with a 6 × His sequence. Population coverage analysis revealed 99.38% global coverage. Structural modeling using AlphaFold2 followed by refinement yielded a high-quality 3D model (98.0% Ramachandran favored residues, ERRAT 98.621, ProSA Z-score - 4.68). Molecular docking demonstrated strong binding of the MEV to TLR-2, while 200 ns molecular dynamics simulations confirmed the stability of the vaccine-receptor complex. Immune simulations predicted robust Th1-biased responses, high antibody production (IgG class switching), and generation of long-term memory B and T cells. Codon optimization for E. coli K12 (CAI 0.982) and in silico cloning into pET-28a( +) vector supported efficient recombinant expression, while mRNA secondary structure analysis indicated high stability. This computationally designed MEV offers a promising preventive strategy against E. anophelis infections. Further experimental validation is warranted to confirm its immunogenicity and protective efficacy.

Indexed as

Elizabethkingia anophelesImmunoinformaticsMeningitisMolecular dynamics simulation, Reverse vaccinologyMultidrug-resistant (MDR)Multi-epitope vaccine

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Registered trials

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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.