Evidence map›Paper›PMID 34849327›Full record

ArticleNetwork modeling and analysis in health informatics and bioinformatics2022

Prediction of suitable T and B cell epitopes for eliciting immunogenic response against SARS-CoV-2 and its mutant.

Vidhu Agarwal, Akhilesh Tiwari, Pritish Varadwaj

Open access · bronzeAbstract read
In one paragraph

Article in Network modeling and analysis in health informatics and bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 18 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Vidhu AgarwalApplied Sciences, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Allahabad, 211015 Uttar Pradesh India.
Akhilesh TiwariApplied Sciences, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Allahabad, 211015 Uttar Pradesh India.
Pritish VaradwajApplied Sciences, Indian Institute of Information Technology, Allahabad, Deoghat, Jhalwa, Allahabad, 211015 Uttar Pradesh India.
Indian Institute of Information Technology Allahabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spike glycoprotein of SARS-CoV-2 is mainly responsible for the recognition and membrane fusion within the host and this protein has an ability to mutate. Hence, T cell and B cell epitopes were derived from the spike glycoprotein sequence of wild SARS-CoV-2. The proposed T cell and B cell epitopes were found to be antigenic and conserved in the sequence of SARS-CoV-2 mutant (B.1.1.7). Thus, the proposed epitopes are effective against SARS-CoV-2 and its B.1.1.7 mutant. MHC-I that best interacts with the proposed T cell epitopes were found, using immune epitope database. Molecular docking and molecular dynamic simulations were done for ensuring a good binding between the proposed MHC-I and T cell epitopes. The finally proposed T cell epitope was found to be antigenic, non-allergenic, non-toxic and stable. Further, the finally proposed B cell epitopes were also found to be antigenic. The population conservation analysis has ensured the presence of MHC-I molecule (respective to the finally proposed T cell) in human population of most affected countries with SARS-CoV-2. Thus the proposed T and B cell epitope could be effective in designing an epitope-based vaccine, which is effective on SARS-CoV-2 and its B.1.1.7mutant. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13721-021-00348-w.

Indexed as

B cell epitopeEpitope-based vaccinePopulation coverageSARS-CoV-2Spike glycoproteinT cell epitope

Identifiers

PMID34849327
PMCPMC8619655
OpenAlexW3215007095

What OpenQuestion holds

Textmetadata
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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.