Evidence map›Paper›PMID 39562668›Full record

ArticleScientific reports2024

Analysis of the abundance and diversity of RNA secondary structure elements in RNA viruses using the RNAsselem Python package.

Fedor M Kazanov, Evgenii V Matveev, Gennady V Ponomarev, Dmitry N Ivankov, Marat D Kazanov

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. "Fertile" Mutations in SARS-CoV-2 RNA More Frequently Occurred in Hairpin Loops That Determine Virus Evolution.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2025
    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

5 authors.

Fedor M Kazanov"Foxford" Online School, Moscow, 115127, Russia.
Evgenii V MatveevSkolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Gennady V PonomarevSkolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Dmitry N IvankovSkolkovo Institute of Science and Technology, Moscow, 121205, Russia.
Marat D KazanovSkolkovo Institute of Science and Technology, Moscow, 121205, Russia. mkazanov@gmail.com.

Funding

Russian Science Foundation 22-14-00132
6 · The paper itself

Abstract

Recent advancements in experimental and computational methods for RNA secondary structure detection have revealed the crucial role of RNA structural elements in diverse molecular processes within living cells. It has been demonstrated that the secondary structure of the entire viral genome is often responsible for performing crucial functions in the viral life cycle and also influences virus evolution. To investigate the role of viral RNA secondary structure, alongside experimental techniques, the use of bioinformatics tools is important for analyzing various secondary structure patterns, including hairpin loops, internal loops, multifurcations, external loops, bulges, stems, and pseudoknots. Here, we have introduced a Python package for analyzing RNA secondary structure elements in viral genomes, which includes the recognition of common secondary structure patterns, the generation of descriptive statistics for these structural elements, and the provision of their basic properties. We applied the developed package to analyze the secondary structures of complete viral genomes collected from the literature, aiming to gain insights into viral function and evolution. Both the package and the collection of secondary structures of viral genomes are available at http://github.com/KazanovLab/RNAsselem .

Indexed as

Computational BiologyGenome, ViralNucleic Acid ConformationRNA, ViralRNA VirusesSoftwareRNA, ViralConnectivity tableRNA secondary structureRNA virusesWUSS

Identifiers

PMID39562668
PMCPMC11577020

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.