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Investigation of a predicted N-terminal amphipathic α-helix using atomistic molecular dynamics simulation of a complete prototype poliovirus virion

Overview of attention for article published in Journal of Molecular Graphics & Modelling, July 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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Title
Investigation of a predicted N-terminal amphipathic α-helix using atomistic molecular dynamics simulation of a complete prototype poliovirus virion
Published in
Journal of Molecular Graphics & Modelling, July 2012
DOI 10.1016/j.jmgm.2012.06.009
Pubmed ID
Authors

Jason A. Roberts, Michael J. Kuiper, Bruce R. Thorley, Peter M. Smooker, Andrew Hung

Abstract

The wild type 1 poliovirus capsid was first described in atomic detail in 1985 using X-ray crystallography. Numerous poliovirus capsid structures have been produced since, but none resolved the spatial positioning and conformation of a predicted N-terminal α-helix of the capsid protein VP1, which is considered critical to virus replication. We studied the helical structure under varying conditions using in silico reconstruction and atomistic molecular dynamics (MD) simulation methods based on the available poliovirus capsid atom coordinate data. MD simulations were performed on the detached N-terminal VP1 helix, the biologically active pentamer form of the pre-virion structure, reconstructed empty virus capsids and a full virion containing the poliovirus RNA genome in the form of a supercoiled structure. The N-terminal α-helix structure proved to be stable and amphipathic under all conditions studied. We propose that a combination of spatial disorder and proximity to the genomic RNA made this particular structure difficult to resolve by X-ray crystallography. Given the similarity of our in silico model of poliovirus compared to X-ray crystallography data, we consider computational methods to be a useful complement to the study of picornaviruses and other viruses that exhibit icosahedral symmetry.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 6%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 36%
Researcher 7 21%
Student > Doctoral Student 3 9%
Student > Bachelor 3 9%
Student > Master 3 9%
Other 2 6%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 21%
Chemistry 7 21%
Biochemistry, Genetics and Molecular Biology 6 18%
Immunology and Microbiology 3 9%
Physics and Astronomy 2 6%
Other 5 15%
Unknown 3 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 07 March 2020.
All research outputs
#4,640,672
of 25,460,914 outputs
Outputs from Journal of Molecular Graphics & Modelling
#80
of 928 outputs
Outputs of similar age
#30,442
of 177,884 outputs
Outputs of similar age from Journal of Molecular Graphics & Modelling
#1
of 5 outputs
Altmetric has tracked 25,460,914 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 928 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 91% 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 177,884 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them