Evidence map›Paper›PMID 26601089›Full record

ArticleAdvanced biomedical research2015

In silico prediction of B- and T- cell epitope on Lassa virus proteins for peptide based subunit vaccine design.

Sitansu Kumar Verma, Soni Yadav, Ajay Kumar

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Identification of Common CD8Journal of virology · 2020
    Article
  3. Article
  4. Review
  5. Article
  6. Epitope Prediction by Novel Immunoinformatics Approach: A State-of-the-art Review.International journal of peptide research and therapeutics · 2020
    Review
  7. Article
  8. Article
  9. Article
  10. In silico-based vaccine design against Ebola virus glycoprotein.Advances and applications in bioinformatics and chemistry : AABC · 2017
    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

3 authors at 1 institution in 1 country.

Sitansu Kumar VermaDepartment of Biotechnology, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India.
Soni YadavDepartment of Biotechnology, Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India.
Ajay KumarDepartment of Biotechnology, Faculty of Engineering and Technology, Rama University, Kanpur, Uttar Pradesh, India.
Atal Bihari Vajpayee Indian Institute of Information Technology and Management · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLassa fever is a severe, often-fatal and one of the most virulent disease in primates. However, the mechanism of escape of virus from the T-cell mediated immune response of the host cell is not explained in any studies yet. In our studies we had aimed to predict B- and T- cell epitope of Lassa virus protein, for impaling the futuristic approach of developing preventive measures against this disease, further we can also study its presumed viral- host mechanism. MATERIALS AND

methodsPeptide based subunit vaccine was developed from all four protein against Lassa virus. We adopted sequence, 3D structure and fold level in silico analysis to predict B-cell and T-cell epitopes. The 3-D structure was determined for all protein by homology modeling and the modeled structure validated.

resultsOne T-cell epitope from Glycoprotein (WDCIMTSYQ) and one from Nucleoprotein (WPYIASRTS) binds to maximum no of MHC class I and MHC class II alleles. They also specially bind to HLA alleles namely, A*0201, A*2705, DRB*0101 and DRB*0401.

conclusionsTaken together, the results indicate the Glycoprotein and nucleoprotein are most suitable vaccine candidates against Lassa virus.

Indexed as

B-cellhomology modelingLassa virusT-cell

Identifiers

PMID26601089
PMCPMC4620608
OpenAlexW2232932234

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.