Evidence map›Paper›PMID 38189537›Full record

ArticleBriefings in bioinformatics2023

Development of innovative multi-epitope mRNA vaccine against Pseudomonas aeruginosa using in silico approaches.

Maryam Asadinezhad, Saeed Khoshnood, Parisa Asadollahi, Sobhan Ghafourian, Nourkhoda Sadeghifard, Iraj Pakzad, Yasaman Zeinivand, Nazanin Omidi, Ali Hematian, Behrooz Sadeghi Kalani

Open access · hybridAbstract read
In one paragraph

Article in Briefings in bioinformatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

17 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Development of a Novel mRNA Vaccine AgainstBioinformatics and biology insights · 2025
    Article
  11. Article
  12. Epitope-driven vaccine design againstIn silico pharmacology · 2025
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Proteomics Exploration ofBioinformatics and biology insights · 2024
    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

10 authors at 1 institution in 1 country.

Maryam AsadinezhadStudents Research Committee, Ilam University of Medical Sciences, Ilam, Iran.
Saeed KhoshnoodStudents Research Committee, Ilam University of Medical Sciences, Ilam, Iran.ORCID 0000-0002-5143-3178
Parisa AsadollahiDepartment of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Sobhan GhafourianDepartment of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Nourkhoda SadeghifardDepartment of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Iraj PakzadDepartment of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Yasaman ZeinivandDepartment of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Nazanin OmidiDepartment of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Ali HematianDepartment of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Behrooz Sadeghi KalaniDepartment of Microbiology, Faculty of Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Medical University of Ilam · IR

Funding

Ilam University of Medical Sciences A-10-3546-3
6 · The paper itself

Abstract

The rising issue of antibiotic resistance has made treating Pseudomonas aeruginosa infections increasingly challenging. Therefore, vaccines have emerged as a viable alternative to antibiotics for preventing P. aeruginosa infections in susceptible individuals. With its superior accuracy, high efficiency in stimulating cellular and humoral immune responses, and low cost, mRNA vaccine technology is quickly replacing traditional methods. This study aimed to design a novel mRNA vaccine by using in silico approaches against P. aeruginosa. The research team identified five surface and antigenic proteins and selected their appropriate epitopes with immunoinformatic tools. These epitopes were then examined for toxicity, allergenicity and homology. The researchers also checked their presentation and identification by major histocompatibility complex cells and other immune cells through valuable tools like molecular docking. They subsequently modeled a multi-epitope protein and optimized it. The mRNA was analyzed in terms of structure and stability, after which the immune system's response against the new vaccine was simulated. The results indicated that the designed mRNA construct could be an effective and promising vaccine that requires laboratory and clinical trials.

Indexed as

mRNA VaccinesPseudomonas InfectionsEpitopesHumansMolecular Docking SimulationPseudomonas aeruginosaRNA, MessengerEpitopesmRNA VaccinesRNA, Messengerantibiotic resistanceepitopesmolecular dockingmRNA vaccineP. aeruginosa

Identifiers

PMID38189537
PMCPMC10772946
OpenAlexW4390678089

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.