Evidence map›Paper›PMID 39062780›Full record

ArticleInternational journal of molecular sciences2024

A Comparative Experimental and Computational Study on the Nature of the Pangolin-CoV and COVID-19 Omicron.

Lai Wei, Lihua Song, A Keith Dunker, James A Foster, Vladimir N Uversky, Gerard Kian-Meng Goh

Abstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. COVID-19, the disease that changed the world.Medicine and pharmacy reports · 2026
    Review
  2. Review
  3. Article
  4. Article
  5. Electron Tomography as a Tool to Study SARS-CoV-2 Morphology.International journal of molecular sciences · 2024
    Review
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.

Lai WeiCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100089, China.ORCID 0009-0001-1866-5241
Lihua SongCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing 100089, China.ORCID 0000-0002-7299-5719
A Keith DunkerCenter for Computational Biology and Bioinformatics, Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA.ORCID 0000-0002-0744-5243
James A FosterDepartment of Biological Sciences, University of Idaho, Moscow, ID 83844, USA.ORCID 0000-0002-6770-6521
Vladimir N UverskyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.ORCID 0000-0002-4037-5857
Gerard Kian-Meng GohGoh's BioComputing, Singapore 548957, Singapore.ORCID 0000-0003-3635-0806

Funding

National Natural Science Foundation of China 32161143027
6 · The paper itself

Abstract

The relationship between pangolin-CoV and SARS-CoV-2 has been a subject of debate. Further evidence of a special relationship between the two viruses can be found by the fact that all known COVID-19 viruses have an abnormally hard outer shell (low M disorder, i.e., low content of intrinsically disordered residues in the membrane (M) protein) that so far has been found in CoVs associated with burrowing animals, such as rabbits and pangolins, in which transmission involves virus remaining in buried feces for a long time. While a hard outer shell is necessary for viral survival, a harder inner shell could also help. For this reason, the N disorder range of pangolin-CoVs, not bat-CoVs, more closely matches that of SARS-CoV-2, especially when Omicron is included. The low N disorder (i.e., low content of intrinsically disordered residues in the nucleocapsid (N) protein), first observed in pangolin-CoV-2017 and later in Omicron, is associated with attenuation according to the Shell-Disorder Model. Our experimental study revealed that pangolin-CoV-2017 and SARS-CoV-2 Omicron (XBB.1.16 subvariant) show similar attenuations with respect to viral growth and plaque formation. Subtle differences have been observed that are consistent with disorder-centric computational analysis.

Indexed as

COVID-19PangolinsSARS-CoV-2AnimalsComputational BiologyCoronavirus Nucleocapsid ProteinsHumansIntrinsically Disordered ProteinsPhosphoproteinsCoronavirus Nucleocapsid ProteinsIntrinsically Disordered Proteinsnucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsAIartificial intelligenceattenuationcoronavirusCOVIDdeltaintrinsic disorderlong COVIDmembranenucleocapsidnucleoproteinomicronpangolinshellvaccinevariantvirulenceXBB

Identifiers

PMID39062780
PMCPMC11277539

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.