Evidence map›Paper›PMID 37896907›Full record

ReviewViruses2023

Advances of Reverse Vaccinology for mRNA Vaccine Design against SARS-CoV-2: A Review of Methods and Tools.

Maria Karolaynne da Silva, Daniel Melo de Oliveira Campos, Shopnil Akash, Shahina Akter, Leow Chiuan Yee, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira

Abstract readReview
In one paragraph

Review in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Protein Language Models in Virology: A Review of Advances and Applications.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. 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

7 authors.

Maria Karolaynne da SilvaDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal 59064-741, RN, Brazil.ORCID 0000-0001-9497-5164
Daniel Melo de Oliveira CamposDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal 59064-741, RN, Brazil.ORCID 0000-0003-4016-3018
Shopnil AkashDepartment of Pharmacy, Daffodil International University, Sukrabad, Dhaka 1207, Bangladesh.ORCID 0000-0003-1751-705X
Shahina AkterBangladesh Council of Scientific & Industrial Research (BCSIR), Dhaka 1205, Bangladesh.ORCID 0000-0001-7776-6686
Leow Chiuan YeeInstitute for Research in Molecular Medicine, Universiti Sains Malaysia, Kota Bharu 11800, Kelantan, Malaysia.ORCID 0000-0002-6919-5921
Umberto Laino FulcoDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal 59064-741, RN, Brazil.ORCID 0000-0002-4528-9878
Jonas Ivan Nobre OliveiraDepartment of Biophysics and Pharmacology, Bioscience Center, Federal University of Rio Grande do Norte, Natal 59064-741, RN, Brazil.ORCID 0000-0003-1374-0596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

mRNA vaccines are a new class of vaccine that can induce potent and specific immune responses against various pathogens. However, the design of mRNA vaccines requires the identification and optimization of suitable antigens, which can be challenging and time consuming. Reverse vaccinology is a computational approach that can accelerate the discovery and development of mRNA vaccines by using genomic and proteomic data of the target pathogen. In this article, we review the advances of reverse vaccinology for mRNA vaccine design against SARS-CoV-2, the causative agent of COVID-19. We describe the steps of reverse vaccinology and compare the in silico tools used by different studies to design mRNA vaccines against SARS-CoV-2. We also discuss the challenges and limitations of reverse vaccinology and suggest future directions for its improvement. We conclude that reverse vaccinology is a promising and powerful approach to designing mRNA vaccines against SARS-CoV-2 and other emerging pathogens.

Indexed as

COVID-19SARS-CoV-2COVID-19 VaccinesHumansmRNA VaccinesProteomicsVaccines, SyntheticVaccinologyCOVID-19 VaccinesmRNA VaccinesVaccines, SyntheticmRNA vaccinereverse vaccinologySARS-CoV-2

Identifiers

PMID37896907
PMCPMC10611333

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.