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Molecular model of SARS coronavirus polymerase: implications for biochemical functions and drug design

Overview of attention for article published in Nucleic Acids Research, December 2003
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user
patent
9 patents
reddit
1 Redditor

Readers on

mendeley
200 Mendeley
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Article details
Title
Molecular model of SARS coronavirus polymerase: implications for biochemical functions and drug design
Published in
Nucleic Acids Research, December 2003
DOI 10.1093/nar/gkg916
Pubmed ID
Authors
Abstract

The causative agent of severe acute respiratory syndrome (SARS) is a previously unidentified coronavirus, SARS-CoV. The RNA-dependent RNA polymerase (RdRp) of SARS-CoV plays a pivotal role in viral replication and is a potential target for anti-SARS therapy. There is a lack of structural or biochemical data on any coronavirus polymerase. To provide insights into the structure and function of SARS-CoV RdRp, we have located its conserved motifs that are shared by all RdRps, and built a three-dimensional model of the catalytic domain. The structural model permits us to discuss the potential functional roles of the conserved motifs and residues in replication and their potential interactions with inhibitors of related enzymes. We predict important structural attributes of potential anti-SARS-CoV RdRp nucleotide analog inhibitors: hydrogen-bonding capability for the 2' and 3' groups of the sugar ring and C3' endo sugar puckering, and the absence of a hydrophobic binding pocket for non-nucleoside analog inhibitors similar to those observed in hepatitis C virus RdRp and human immunodeficiency virus type 1 reverse transcriptase. We propose that the clinically observed resistance of SARS to ribavirin is probably due to perturbation of the conserved motif A that controls rNTP binding and fidelity of polymerization. Our results suggest that designing anti-SARS therapies can benefit from successful experiences in design of other antiviral drugs. This work should also provide guidance for future biochemical experiments.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Venezuela, Bolivarian Republic of 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Unknown 197 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 34 17%
Student > Master 30 15%
Researcher 25 13%
Student > Ph. D. Student 23 12%
Student > Doctoral Student 10 5%
Other 27 14%
Unknown 51 26%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 24%
Agricultural and Biological Sciences 28 14%
Chemistry 12 6%
Pharmacology, Toxicology and Pharmaceutical Science 11 6%
Medicine and Dentistry 9 5%
Other 34 17%
Unknown 59 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 September 2026.
All research outputs
#3,229,571
of 32,102,133 outputs
Outputs from Nucleic Acids Research
#4,009
of 32,421 outputs
Outputs of similar age
#8,908
of 188,599 outputs
Outputs of similar age from Nucleic Acids Research
#24
of 232 outputs
Altmetric has tracked 32,102,133 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,421 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 188,599 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.