Evidence map›Paper›PMID 32352026›Full record

ArticleInformatics in medicine unlocked2020

Epitope based vaccine prediction for SARS-COV-2 by deploying immuno-informatics approach.

Amit Joshi, Bhuwan Chandra Joshi, M Amin-Ul Mannan, Vikas Kaushik

Abstract read
In one paragraph

Article in Informatics in medicine unlocked, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
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  11. Article
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  14. Article
  15. Experimental Study of Potential CD8BioMed research international · 2022
    Article
  16. Article
  17. Prediction of suitable T and B cell epitopes for eliciting immunogenic response against SARS-CoV-2 and its mutant.Network modeling and analysis in health informatics and bioinformatics · 2022
    Article
  18. T-cell epitope-based vaccine designing against Orthohantavirus: a causative agent of deadly cardio-pulmonary disease.Network modeling and analysis in health informatics and bioinformatics · 2022
    Article
  19. Article
  20. COVID-19 vaccines and nanomedicine.International journal of dermatology · 2021
    Review
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.

Amit JoshiDomain of Bioinformatics, School of Bio-Engineering and Bio-Sciences, Lovely Professional University, Punjab, India.
Bhuwan Chandra JoshiDepartment of Biological Sciences and Biotechnology, Surajmal Agarwal Private Girls PG Degree College Kiccha, Kumaun University, Nainital, Uttarakhand, India.
M Amin-Ul MannanDomain of Bioinformatics, School of Bio-Engineering and Bio-Sciences, Lovely Professional University, Punjab, India.
Vikas KaushikDomain of Bioinformatics, School of Bio-Engineering and Bio-Sciences, Lovely Professional University, Punjab, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new virus termed SARS-COV-2 (causing COVID-19 disease) can exhibit a progressive, fatal impact on individuals. The World Health Organization (WHO) has declared the spread of the virus to be a global pandemic. Currently, there are over 1 million cases and over 100,000 confirmed deaths due to the virus. Hence, prophylactic and therapeutic strategies are promptly needed. In this study we report an epitope, ITLCFTLKR, which is biochemically fit to HLA allelic proteins. We propose that this could be used as a potential vaccine candidate against SARS-COV-2. A selected putative epitope and HLA-allelic complexes show not only better binding scores, but also RMSD values in the range of 0-1 Å. This epitope was found to have a 99.8% structural favorability as per Ramachandran-plot analysis. Similarly, a suitable range of IC

Indexed as

EpitopeHLA-AllelesImmuno-informaticsSARS-COV-2SimulationVaccine

Identifiers

PMID32352026
PMCPMC7189872

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.