Evidence map›Paper›PMID 33005212›Full record

ArticleFuture virology2020

Bader Y Alhatlani

Open access · greenAbstract read
In one paragraph

Article in Future virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.4field-weighted citation impact, top 25% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Classification, replication, and transcription ofFrontiers in microbiology · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. An overview of current COVID-19 vaccine platforms.Computational and structural biotechnology journal · 2021
    Review
  10. Article
  11. Article
  12. A Comprehensive Analysis ofFrontiers in genetics · 2020
    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

1 author at 1 institution in 1 country.

Bader Y AlhatlaniDepartment of Medical Applied Sciences, Unayzah Community College, Qassim University, Unayzah, Saudi Arabia.ORCID https://orcid.org/0000-0003-0871-6313
Qassim University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to computationally predict conserved RNA sequences and structures known as MATERIALS &

methodsBioinformatics tools were used to analyze and predict CREs by obtaining viral sequences from available databases.

resultsComputational analysis revealed the presence of RNA stem-loop structures within the 3' end of the ORF1ab region analogous to previously identified SARS-CoV genomic packaging signals. Alignment-based RNA secondary structure predictions of the 5' end of the SARS-CoV-2 genome also identified conserved CREs.

conclusionThese CREs may be potential vaccine and/or antiviral therapeutic targets; however, further studies are warranted to confirm their roles in the SARS-CoV-2 life cycle.

Indexed as

cis-acting RNA elementsRNA structureRNA virusSARS-CoV-2

Identifiers

PMID33005212
PMCPMC7507811
OpenAlexW3045602028

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.