Evidence map›Paper›PMID 40108271›Full record

ArticleScientific reports2025

Computationally designed multi-epitope vaccine construct targeting the SARS-CoV-2 spike protein elicits robust immune responses in silico.

Varughese Deepthi, Aswathy Sasikumar, Kochupurackal P Mohanakumar, Usha Rajamma

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. B-EPIC: A Transformer-Based Language Model for Decoding B Cell Immunodominance Patterns.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Review
  16. Towards precision epitopes based vaccine againstBiochemistry and biophysics reports · 2025
    Article
  17. 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.

Varughese Deepthi *Centre for Development and Aging Research, Inter University Centre for Biomedical Research & Super Speciality Hospital, Mahatma Gandhi University Campus at Thalappady, Rubber Board P.O, Kottayam, 686009, Kerala, India.
Aswathy Sasikumar *Centre for Development and Aging Research, Inter University Centre for Biomedical Research & Super Speciality Hospital, Mahatma Gandhi University Campus at Thalappady, Rubber Board P.O, Kottayam, 686009, Kerala, India.
Kochupurackal P MohanakumarCentre for Development and Aging Research, Inter University Centre for Biomedical Research & Super Speciality Hospital, Mahatma Gandhi University Campus at Thalappady, Rubber Board P.O, Kottayam, 686009, Kerala, India.
Usha RajammaCentre for Development and Aging Research, Inter University Centre for Biomedical Research & Super Speciality Hospital, Mahatma Gandhi University Campus at Thalappady, Rubber Board P.O, Kottayam, 686009, Kerala, India. usharajamma1962@gmail.com.

Funding

Indian Council for Medical Research, Govt. of India, Research Associateship to VD No.3/1/13/Neuro/139/2020-NCD-I
6 · The paper itself

Abstract

Our research is driven by the need to design an advanced multi-epitope vaccine construct (MEVC) using the S-protein of SARS-CoV-2 to combat the emergence of new variants. Through rigorous computational screening, we have identified linear and discontinuous B-cell epitopes, CD8 + and CD4 + T-cell epitopes, ensuring extensive MEVC coverage across 90.03% of the global population. The MEVC, featuring four CD4 + and four CD8 + T-cell epitopes connected linearly with two adjuvant proteins on both ends, has been carefully designed to elicit robust immune response. Our in-silico analysis has confirmed the construct's antigenicity, non-allergenicity, and non-toxicity with optimized codon sequences for enhanced expression in E. coli K12. Furthermore, molecular docking and dynamics analyses have demonstrated its strong binding affinity with TLR-3 and TLR 4, and in-silico immune simulation yielded promising results on heightened B-cell and T-cell-mediated immunity. However, wet lab experiments are essential to validate computational findings to revolutionize the development of vaccines against SARS-CoV-2.

Indexed as

COVID-19COVID-19 VaccinesEpitopes, T-LymphocyteSARS-CoV-2Spike Glycoprotein, CoronavirusCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesComputer SimulationEpitopes, B-LymphocyteHumansMolecular Docking SimulationToll-Like Receptor 3Toll-Like Receptor 4COVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2TLR3 protein, humanToll-Like Receptor 3Toll-Like Receptor 4

Identifiers

PMID40108271
PMCPMC11923050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.