Evidence map›Paper›PMID 35082779›Full record

ArticleFrontiers in immunology

Nabarun Chandra Das, Pritha Chakraborty, Jagadeesh Bayry, Suprabhat Mukherjee

Open access · goldAbstract readComparative Study
In one paragraph

Article in Frontiers in immunology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Unlocking the potential ofFrontiers in bioinformatics · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Immunoinformatics Approaches in Designing Vaccines Against COVID-19.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  16. Article
  17. F1000Research · 2023
    Article
  18. Review
  19. Article
  20. 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 at 2 institutions in 1 country.

Nabarun Chandra DasIntegrative Biochemistry and Immunology Laboratory, Department of Animal Science, Kazi Nazrul University, Asansol, India.
Pritha ChakrabortyIntegrative Biochemistry and Immunology Laboratory, Department of Animal Science, Kazi Nazrul University, Asansol, India.
Jagadeesh BayryDepartment of Biological Sciences and Engineering, Indian Institute of Technology Palakkad, Palakkad, India.
Suprabhat MukherjeeIntegrative Biochemistry and Immunology Laboratory, Department of Animal Science, Kazi Nazrul University, Asansol, India.
Kazi Nazrul University · INIndian Institute of Technology Palakkad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the start of the pandemic, SARS-CoV-2 has already infected more than 250 million people globally, with more than five million fatal cases and huge socio-economic losses. In addition to corticosteroids, and antiviral drugs like remdesivir, various immunotherapies including monoclonal antibodies (mAbs) to S protein of SARS-CoV-2 have been investigated to treat COVID-19 patients. These mAbs were initially developed against the wild-type SARS-CoV-2; however, emergence of variant forms of SARS-CoV-2 having mutations in the spike protein in several countries including India raised serious questions on the potential use of these mAbs against SARS-CoV-2 variants. In this study, using an

Indexed as

Molecular Docking SimulationAntibodies, MonoclonalAntibodies, ViralHumansImmunoglobulin Fab FragmentsSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, MonoclonalAntibodies, ViralImmunoglobulin Fab FragmentsSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19in silico approachmonoclonal antibody (mAb)SARS-CoV-2spike proteinvariants

Identifiers

PMID35082779
PMCPMC8784557
OpenAlexW4206365084

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.