Evidence map›Paper›PMID 34630400›Full record

ArticleFrontiers in immunology2021

Identification of Unique Peptides for SARS-CoV-2 Diagnostics and Vaccine Development by an

Veerbhan Kesarwani, Rupal Gupta, Ramesh Raju Vetukuri, Sandeep Kumar Kushwaha, Sonu Gandhi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Review
  6. Article
  7. Article
  8. RSC advances · 2022
    Article
  9. Artificial Intelligence Technologies for COVID-19 De Novo Drug Design.International journal of molecular sciences · 2022
    Review
  10. Article
  11. 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

5 authors at 2 institutions in 2 countries.

Veerbhan KesarwaniDBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, India.
Rupal GuptaDBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, India.
Ramesh Raju VetukuriDepartment of Plant Breeding, Swedish University of Agricultural Sciences, Alnarp, Sweden.
Sandeep Kumar KushwahaDBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, India.
Sonu GandhiDBT-National Institute of Animal Biotechnology (NIAB), Hyderabad, India.
National Institute of Animal Biotechnology · INSwedish University of Agricultural Sciences · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ongoing evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus strains is posing new COVID-19 diagnosis and treatment challenges. To help efforts to meet these challenges we examined data acquired from proteomic analyses of human SARS-CoV-2-infected cell lines and samples from COVID-19 patients. Initially, 129 unique peptides were identified, which were rigorously evaluated for repeats, disorders, polymorphisms, antigenicity, immunogenicity, toxicity, allergens, sequence similarity to human proteins, and contributions from other potential cross-reacting pathogenic species or the human saliva microbiome. We also screened SARS-CoV-2-infected NBHE and A549 cell lines for presence of antigenic peptides, and identified paratope peptides from crystal structures of SARS-CoV-2 antigen-antibody complexes. We then selected four antigen peptides for docking with known viral unbound T-cell receptor (TCR), class I and II peptide major histocompatibility complex (pMHC), and identified paratope sequences. We also tested the paratope binding affinity of SARS-CoV T- and B-cell peptides that had been previously experimentally validated. The resultant antigenic peptides have high potential for generating SARS-CoV-2-specific antibodies, and the paratope peptides can be directly used to develop a COVID-19 diagnostics assay. The presented genomics and proteomics-based

Indexed as

A549 CellsCell LineCoronavirus Nucleocapsid ProteinsCOVID-19COVID-19 VaccinesEpitope MappingEpitopes, B-LymphocyteEpitopes, T-LymphocyteHLA AntigensHumansMolecular Docking SimulationPeptidesPhosphoproteinsProtein BindingProteomicsPulmonary AlveoliCoronavirus Nucleocapsid ProteinsCOVID-19 VaccinesEpitopes, B-LymphocyteEpitopes, T-LymphocyteHLA Antigensnucleocapsid phosphoprotein, SARS-CoV-2PeptidesPhosphoproteinsReceptors, AntigenSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19 vaccinesdiagnostic peptidesdockingMHCparatopesSARS-CoV-2TCR

Identifiers

PMID34630400
PMCPMC8498204
OpenAlexW3204379825

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.