Evidence map›Paper›PMID 33034084›Full record

ArticleZoo biology2021

Predicting susceptibility for SARS-CoV-2 infection in domestic and wildlife animals using ACE2 protein sequence homology.

Ashutosh Kumar, Sada N Pandey, Vikas Pareek, Ravi K Narayan, Muneeb A Faiq, Chiman Kumari

Abstract read
In one paragraph

Article in Zoo biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. No Evidence of SARS-CoV-2 Infection in Wild Mink (Animals : an open access journal from MDPI · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Predicting the zoonotic capacity of mammals to transmit SARS-CoV-2.bioRxiv : the preprint server for biology · 2021
    Article
  13. Article
  14. Review
  15. Review
  16. 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

6 authors.

Ashutosh KumarEtiologically Elusive Disorders Research Network (EEDRN), New Delhi, India.ORCID https://orcid.org/0000-0003-1589-9568
Sada N PandeyEtiologically Elusive Disorders Research Network (EEDRN), New Delhi, India.
Vikas PareekEtiologically Elusive Disorders Research Network (EEDRN), New Delhi, India.
Ravi K NarayanEtiologically Elusive Disorders Research Network (EEDRN), New Delhi, India.
Muneeb A FaiqEtiologically Elusive Disorders Research Network (EEDRN), New Delhi, India.
Chiman KumariEtiologically Elusive Disorders Research Network (EEDRN), New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The article is presenting a bioinformatics based method predicting susceptibility for SARS-CoV-2 infection in domestic and wildlife animals. Recently, there were reports of cats and ferrets, dogs, minks, golden hamster, rhesus monkeys, tigers, and lions testing for SARS-CoV-2 RNA which indicated for the possible interspecies viral transmission. Our method successfully predicted the susceptibility of these animals for contracting SARS-CoV-2 infection. This method can be used as a screening tool for guiding viral RNA testing for domestic and wildlife animals at risk of getting COVID-19. We provide a list of the animals at risk of developing COVID-19 based on the susceptibility score.

Indexed as

Animals, DomesticAnimals, WildGenetic Predisposition to DiseaseSARS-CoV-2Angiotensin-Converting Enzyme 2AnimalsCOVID-19Gene Expression Regulation, EnzymologicHumansRNA, ViralSpecies SpecificityAngiotensin-Converting Enzyme 2RNA, ViralACE2COVID-19petsSARS-CoV-2susceptibilitywildlife

Identifiers

PMID33034084
PMCPMC7675721

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.