Evidence map›Paper›PMID 16263266›Full record

ReviewCurrent opinion in structural biology2005

Structural insights into SARS coronavirus proteins.

Mark Bartlam, Haitao Yang, Zihe Rao

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Structural insights into SARS-CoV-2 proteins.Journal of molecular biology · 2021
    Review
  10. Article
  11. Article
  12. Lactoferrin for the treatment of COVID-19 (Review).Experimental and therapeutic medicine · 2020
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. 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

3 authors.

Mark BartlamNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China and Laboratory of Structural Biology, Tsinghua University, Beijing 100084, China.
Haitao Yang
Zihe Rao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The SARS coronavirus was identified as the pathogen of a global outbreak of SARS (severe acute respiratory syndrome) in 2003. Its large RNA genome encodes four structural proteins, sixteen non-structural proteins and eight accessory proteins. The availability of structures of SARS coronavirus macromolecules has enabled the elucidation of their important functions, such as mediating the fusion of viral and host cellular membranes, and in replication and transcription. In particular, the spike protein fusion core and the main protease have been the most extensively studied, with the aim of designing anti-SARS therapeutics. Attention is now being focused on replicase proteins, which should enhance our understanding of the replication and transcription machinery. The structures and functions of most SARS proteins remain unknown, and further structural studies will be important for revealing their functions and for designing potential anti-SARS therapeutics.

Indexed as

Models, MolecularMembrane ProteinsProtein ConformationRNA-Binding ProteinsRNA-Dependent RNA PolymeraseSevere acute respiratory syndrome-related coronavirusViral Matrix ProteinsViral ProteinsViral Structural ProteinsMembrane Proteinsnsp9 protein, SARS virusRNA-Binding ProteinsRNA-Dependent RNA Polymerasesars7a protein, SARS virusViral Matrix ProteinsViral ProteinsViral Structural Proteins

Identifiers

PMID16263266
PMCPMC7127763

What OpenQuestion holds

Textmetadata
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.