Evidence map›Paper›PMID 42541679›Full record

ReviewFolia microbiologica2026

Immunoinformatics-driven multi-epitope vaccine design as a promising strategy against multidrug-resistant pathogens: a comprehensive review.

Rameen Nasir, Muhammad Mutayyab Javaid, Raheen Rahman, Rimsha Abbasi, Muneeb Khalid, Muhammad Arslan, Muhammad Amjad Sajjad, Ahsan Ibrahim

Abstract readReview
PubMed Publisher
In one paragraph

Review in Folia microbiologica, 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

8 authors.

Rameen NasirShifa College of Pharmaceutical Sciences (SCPS), Shifa Tameer-e-Millat University (STMU), H-8, Islamabad, Pakistan.
Muhammad Mutayyab JavaidShifa College of Pharmaceutical Sciences (SCPS), Shifa Tameer-e-Millat University (STMU), H-8, Islamabad, Pakistan.
Raheen RahmanShifa College of Pharmaceutical Sciences (SCPS), Shifa Tameer-e-Millat University (STMU), H-8, Islamabad, Pakistan.
Rimsha AbbasiShifa College of Pharmaceutical Sciences (SCPS), Shifa Tameer-e-Millat University (STMU), H-8, Islamabad, Pakistan.
Muneeb KhalidShifa College of Pharmaceutical Sciences (SCPS), Shifa Tameer-e-Millat University (STMU), H-8, Islamabad, Pakistan.
Muhammad ArslanShifa College of Pharmaceutical Sciences (SCPS), Shifa Tameer-e-Millat University (STMU), H-8, Islamabad, Pakistan.
Muhammad Amjad SajjadDepartment of Pharmacy, Iqra University, Plot No. 5, H-9 Campus, Islamabad, Pakistan.
Ahsan IbrahimShifa College of Pharmaceutical Sciences (SCPS), Shifa Tameer-e-Millat University (STMU), H-8, Islamabad, Pakistan. ahsan.scps@stmu.edu.pk.ORCID http://orcid.org/0000-0003-1794-8642

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infections caused by multidrug-resistant (MDR) pathogens, both gram-negative and gram-positive organisms, have transformed into a silent global pandemic. These pathogens, especially ESKAPE pathogens, exhibit wide resistance patterns to several clinically significant antibiotics. This has decreased the effectiveness of already available antibiotics, increasing mortality, morbidity, economic burden and prolonged hospital stay. As the discovery of new antibiotics is an extensive and time-consuming process, an urgent need for innovative and practical preventive strategies arises. This review emphasizes the need, advancement and practicality of immunoinformatic tools and in silico vaccine designing and development against MDR pathogens. Research shows that MDR pathogens demonstrate a variety of resistance pathways, including target alteration, enzymatic degradation and efflux pumps, to tolerate therapeutically available antibiotics. The notable benefits of in silico vaccine designing include rapid identification of conserved antigens, even in variable pathogens, epitope prediction with antigenic potential, population coverage across various populations, less time, cost and improved precision in creating a multi-epitope vaccine against these MDR pathogens. Moreover, molecular docking, molecular dynamic simulations, immune simulations and expression analysis assist in predicting the molecular behavior of the designed vaccine. The increasing prevalence of MDR infections emphasizes the critical need for prevention measures rather than conventional therapy options. Use of immunoinformatics and in silico approaches presents a potent, efficient and cost-effective method to design and create multi-epitope vaccines against MDR pathogens. However, limitations such as false positives, reproducibility concerns with varying software and potential bias due to the use of curated databases in reverse vaccinology may pose a challenge. Incorporation of in silico vaccine development in future research can play a pivotal role in combating antimicrobial resistance and improving health outcomes globally.

Indexed as

Immune simulationIn silicoMDR pathogensMolecular DockingMolecular Dynamic SimulationsMultiple epitopeVaccine

Identifiers

What OpenQuestion holds

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Registered trials

None linked

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.