Evidence map›Paper›PMID 32348474›Full record

ArticleThe Biochemical journal2020

Expanding our understanding of the role polyprotein conformation plays in the coronavirus life cycle.

Samantha Gildenhuys

Abstract readComment
In one paragraph

Article in The Biochemical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Design, synthesis andRSC advances · 2021
    Article
  7. COVID-19 among Nursing Staff: Settings and Regional Differences.Portuguese journal of public health · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Computational guided identification of potential leads fromFuture journal of pharmaceutical sciences · 2021
    Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Samantha GildenhuysDepartment of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Private Bag X6, Florida, Roodepoort 1710, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus are the causative agents in many globally concerning respiratory disease outbreaks such as severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS) and coronavirus disease-2019 (COVID-19). It is therefore important that we improve our understanding of how the molecular components of the virus facilitate the viral life cycle. These details will allow for the design of effective interventions. Krichel and coauthors in their article in the Biochemical Journal provide molecular details of how the viral polyprotein (nsp7-10) produced from the positive single stranded RNA genome, is cleaved to form proteins that are part of the replication/transcription complex. The authors highlight the impact the polyprotein conformation has on the cleavage efficiency of the main protease (Mpro) and hence the order of release of non-structural proteins 7-10 (nsp7-10) of the SARS-CoV. Cleavage order is important in controlling viral processes and seems to have relevance in terms of the protein-protein complexes formed. The authors made use of mass spectrometry to advance our understanding of the mechanism by which coronaviruses control nsp 7, 8, 9 and 10 production in the virus life cycle.

Indexed as

CoronavirusCoronavirus InfectionsSevere acute respiratory syndrome-related coronavirusBetacoronavirusCOVID-19HumansPandemicsPneumonia, ViralPolyproteinsSARS-CoV-2Virus ReplicationPolyproteinsCoronavirusnsp7–10polyprotein 1a/abpolyprotein conformationposttranslational controlSARS-CoV

Identifiers

PMID32348474
PMCPMC7200640

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.