Evidence map›Paper›PMID 25793998›Full record

ArticlePLoS computational biology2015

Asymmetric genome organization in an RNA virus revealed via graph-theoretical analysis of tomographic data.

James A Geraets, Eric C Dykeman, Peter G Stockley, Neil A Ranson, Reidun Twarock

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Hamiltonian path analysis of viral genomes.Nature communications · 2018
    Article
  7. Review
  8. 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 at 2 institutions in 1 country.

James A GeraetsYork Centre for Complex Systems Analysis, University of York, York, United Kingdom.
Eric C DykemanYork Centre for Complex Systems Analysis, University of York, York, United Kingdom.
Peter G StockleyAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, United Kingdom.
Neil A RansonAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds, United Kingdom.
Reidun TwarockYork Centre for Complex Systems Analysis, University of York, York, United Kingdom.
University of York · GBUniversity of Leeds · GB

Funding

Wellcome Trust 090932Wellcome Trust 090932/Z/09/ZWellcome Trust 094232/Z/10/Z
6 · The paper itself

Abstract

Cryo-electron microscopy permits 3-D structures of viral pathogens to be determined in remarkable detail. In particular, the protein containers encapsulating viral genomes have been determined to high resolution using symmetry averaging techniques that exploit the icosahedral architecture seen in many viruses. By contrast, structure determination of asymmetric components remains a challenge, and novel analysis methods are required to reveal such features and characterize their functional roles during infection. Motivated by the important, cooperative roles of viral genomes in the assembly of single-stranded RNA viruses, we have developed a new analysis method that reveals the asymmetric structural organization of viral genomes in proximity to the capsid in such viruses. The method uses geometric constraints on genome organization, formulated based on knowledge of icosahedrally-averaged reconstructions and the roles of the RNA-capsid protein contacts, to analyse cryo-electron tomographic data. We apply this method to the low-resolution tomographic data of a model virus and infer the unique asymmetric organization of its genome in contact with the protein shell of the capsid. This opens unprecedented opportunities to analyse viral genomes, revealing conserved structural features and mechanisms that can be targeted in antiviral drug design.

Indexed as

Computational BiologyCryoelectron MicroscopyGenome, ViralLevivirusModels, MolecularRNA VirusesTomography

Identifiers

PMID25793998
PMCPMC4368512
OpenAlexW2085456047

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.