Evidence map›Paper›PMID 33837719›Full record

ReviewAdvances in virus research2020

Current capsid assembly models of icosahedral nucleocytoviricota viruses.

Yuejiao Xian, Chuan Xiao

Open access · greenAbstract readReview
In one paragraph

Review in Advances in virus research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Basic Virology.Advances in experimental medicine and biology · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. 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

2 authors at 1 institution in 1 country.

Yuejiao XianDepartment of Chemistry and Biochemistry, The University of Texas at El Paso, El Paso, Texas, United States.
Chuan XiaoDepartment of Chemistry and Biochemistry, The University of Texas at El Paso, El Paso, Texas, United States. Electronic address: cxiao@utep.edu.
The University of Texas at El Paso · US

Funding

Deciphering the Molecular Assembly Mechanism of Giant DNA VirusesR01GM129525 · NIGMS · UNIVERSITY OF TEXAS EL PASO · PI XIAO, CHUAN · 2019 to 2023
$1.8M
NIGMS NIH HHS R01 GM129525
6 · The paper itself

Abstract

Nucleocytoviricota viruses (NCVs) belong to a newly established phylum originally grouped as Nucleocytoplasmic large DNA viruses. NCVs are unique because of their large and complicated genomes that contain cellular genes with homologs from all kingdoms of life, raising intensive debates on their evolutional origins. Many NCVs pack their genomes inside massive icosahedral capsids assembled from thousands of proteins. Studying the assembly mechanism of such capsids has been challenging until breakthroughs from structural studies. Subsequently, several models of the capsid assembly were proposed, which provided some interesting insights on this elaborate process. In this review, we discuss three of the most recent assembly models as well as supporting experimental observations. Furthermore, we propose a new model that combines research developments from multiple sources. Investigation of the assembly process of these vast NCV capsids will facilitate future deciphering of the molecular mechanisms driving the formation of similar supramolecular complexes.

Indexed as

Models, MolecularVirus AssemblyBooksCapsidCapsid ProteinsDNA VirusesGenome, ViralCapsid ProteinsAssembly modelCapsid proteinCapsomerDouble jelly rollIcosahedral capsidNucleocytoplasmic large DNA virusNucleocytoviricota virusStructureSymmetronTape measure protein

Identifiers

PMID33837719
PMCPMC8328511
OpenAlexW3092047124

What OpenQuestion holds

Textmetadata
LicenceTDM
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.