Evidence map›Paper›PMID 31545127›Full record

ReviewHuman vaccines & immunotherapeutics2020

Computational tools for modern vaccine development.

Sunita, Andaleeb Sajid, Yogendra Singh, Pratyoosh Shukla

Open access · bronzeAbstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

52 citing papers in PubMed, 127 citations in OpenAlex.

  1. Article
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  5. Review
  6. Article
  7. Immunoinformatics analysis of the proteins MPT83 and MPT51 to design a possible chimeric vaccine against Mycobacterium tuberculosis.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  8. Computational Approaches for Discovering Virulence Factors inJournal of fungi (Basel, Switzerland) · 2025
    Review
  9. Overcoming Immune Evasion inACS infectious diseases · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Epitope-driven vaccine design againstIn silico pharmacology · 2025
    Article
  18. Article
  19. Article
  20. 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

4 authors at 3 institutions in 2 countries.

SunitaEnzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, India.
Andaleeb SajidNational Institutes of Health, National Cancer Institute, Bethesda, MD, USA.
Yogendra SinghBacterial Pathogenesis Laboratory, Department of Zoology, University of Delhi, Delhi.
Pratyoosh ShuklaEnzyme Technology and Protein Bioinformatics Laboratory, Department of Microbiology, Maharshi Dayanand University, Rohtak, India.
Maharshi Dayanand University · INNational Institutes of Health · USUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccines play an essential role in controlling the rates of fatality and morbidity. Vaccines not only arrest the beginning of different diseases but also assign a gateway for its elimination and reduce toxicity. This review gives an overview of the possible uses of computational tools for vaccine design. Moreover, we have described the initiatives of utilizing the diverse computational resources by exploring the immunological databases for developing epitope-based vaccines, peptide-based drugs, and other resources of immunotherapeutics. Finally, the applications of multi-graft and multivalent scaffolding, codon optimization and antibodyomics tools in identifying and designing

Indexed as

Computational BiologyVaccinesEpitopesPeptidesEpitopesPeptidesVaccinesantibodyomics toolsepitope predictionmulti-graft scaffoldingrational designreverse vaccinologyVaccine

Identifiers

PMID31545127
PMCPMC7227725
OpenAlexW2975742760

What OpenQuestion holds

Textmetadata
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.