Evidence map›Paper›PMID 33795932›Full record

ReviewBioinformatics and biology insights2021

The Relevance of Bioinformatics Applications in the Discovery of Vaccine Candidates and Potential Drugs for COVID-19 Treatment.

Onyeka S Chukwudozie, Vincent C Duru, Charlotte C Ndiribe, Abdullahi T Aborode, Victor O Oyebanji, Benjamin O Emikpe

Abstract readReview
In one paragraph

Review in Bioinformatics and biology insights, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Development of multi-epitope mRNA vaccine againstSynthetic and systems biotechnology · 2024
    Article
  4. Article
  5. Review
  6. Frontiers in immunology · 2024
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
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

6 authors.

Onyeka S ChukwudozieDepartment of Cell Biology and Genetics, University of Lagos, Lagos, Nigeria.ORCID https://orcid.org/0000-0002-0814-6798
Vincent C DuruMolecular Genetics Unit, Institute of Child Health, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Charlotte C NdiribeDepartment of Cell Biology and Genetics, University of Lagos, Lagos, Nigeria.
Abdullahi T AborodeDepartment of Chemistry, University of Ilorin, Ilorin, Nigeria.
Victor O OyebanjiDepartment of Veterinary Pathology, University of Ibadan, Ibadan, Nigeria.
Benjamin O EmikpeDepartment of Veterinary Pathology, University of Ibadan, Ibadan, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of bioinformatics to vaccine research and drug discovery has never been so essential in the fight against infectious diseases. The greatest combat of the 21st century against a debilitating disease agent SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus discovered in Wuhan, China, December 2019, has piqued an unprecedented usage of bioinformatics tools in deciphering the molecular characterizations of infectious pathogens. With the viral genome data of SARS-COV-2 been made available barely weeks after the reported outbreak, bioinformatics platforms have become an all-time critical tool to gain time in the fight against the disease pandemic. Before the outbreak, different platforms have been developed to explore antigenic epitopes, predict peptide-protein docking and antibody structures, and simulate antigen-antibody reactions and lots more. However, the advent of the pandemic witnessed an upsurge in the application of these pipelines with the development of newer ones such as the Coronavirus Explorer in the development of efficacious vaccines, drug repurposing, and/or discovery. In this review, we have explored the various pipelines available for use, their relevance, and limitations in the timely development of useful therapeutic candidates from genomic data knowledge to clinical therapy.

Indexed as

bioinformaticsCOVID-19drug discoverySARS-CoV-2vaccine

Identifiers

PMID33795932
PMCPMC7968009

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.