Evidence map›Paper›PMID 33898733›Full record

ArticleInformatics in medicine unlocked2021

Immunoinformatics and molecular modeling approach to design universal multi-epitope vaccine for SARS-CoV-2.

Md Tahsin Khan, Md Jahirul Islam, Arpana Parihar, Rahatul Islam, Tarhima Jahan Jerin, Rupali Dhote, Md Ackas Ali, Fariha Khan Laura, Mohammad A Halim

Open access · goldAbstract read
In one paragraph

Article in Informatics in medicine unlocked, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Epitope-driven vaccine design againstIn silico pharmacology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Multi-epitope Based Peptide Vaccine Candidate AgainstBioinformatics and biology insights · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
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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

9 authors at 4 institutions in 3 countries.

Md Tahsin KhanDivision of Infectious Diseases, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Md Jahirul IslamDivision of Infectious Diseases, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Arpana PariharDepartment of Genetics, Barkatullah University, Bhopal, Madhya Pradesh, 462026, India.
Rahatul IslamDepartment of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.
Tarhima Jahan JerinDepartment of Biotechnology and Genetic Engineering, Mawlana Bhashani Science and Technology University, Tangail, 1902, Bangladesh.
Rupali DhoteDepartment of Genetics, Barkatullah University, Bhopal, Madhya Pradesh, 462026, India.
Md Ackas AliDivision of Infectious Diseases, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Fariha Khan LauraDivision of Infectious Diseases, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Mohammad A HalimDivision of Infectious Diseases, The Red-Green Research Centre, BICCB, 16 Tejkunipara, Tejgaon, Dhaka, 1215, Bangladesh.
Green University of Bangladesh · BDShahjalal University of Science and Technology · BDMawlana Bhashani Science and Technology University · BDUniversity of Arkansas – Fort Smith · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a highly transmittable and pathogenic human coronavirus that caused a pandemic situation of acute respiratory syndrome, called COVID-19, which has posed a significant threat to global health security. The aim of the present study is to computationally design an effective peptide-based multi-epitope vaccine (MEV) against SARS-CoV-2. The overall model quality of the vaccine candidate, immunogenicity, allergenicity, and physiochemical analysis have been conducted and validated. Molecular dynamics studies confirmed the stability of the candidate vaccine. The docked complexes during the simulation revealed a strong and stable binding interactions of MEV with human and mice toll-like receptors (TLR), TLR3 and TLR4. Finally, candidate vaccine codons have been optimized for their

Indexed as

ImmunoinformaticsMolecular dynamics simulationMulti-epitope vaccineSARS-CoV-1SARS-CoV-2

Identifiers

PMID33898733
PMCPMC8057924
OpenAlexW3155855184

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.