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Cloud-based simulations on Google Exacycle reveal ligand modulation of GPCR activation pathways

Overview of attention for article published in Nature Chemistry, December 2013
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
7 news outlets
blogs
8 blogs
twitter
66 X users
patent
1 patent
peer_reviews
1 peer review site
facebook
3 Facebook pages
googleplus
3 Google+ users
f1000
1 research highlight platform

Citations

dimensions_citation
403 Dimensions

Readers on

mendeley
401 Mendeley
citeulike
2 CiteULike
Title
Cloud-based simulations on Google Exacycle reveal ligand modulation of GPCR activation pathways
Published in
Nature Chemistry, December 2013
DOI 10.1038/nchem.1821
Pubmed ID
Authors

Kai J. Kohlhoff, Diwakar Shukla, Morgan Lawrenz, Gregory R. Bowman, David E. Konerding, Dan Belov, Russ B. Altman, Vijay S. Pande

Abstract

Simulations can provide tremendous insight into the atomistic details of biological mechanisms, but micro- to millisecond timescales are historically only accessible on dedicated supercomputers. We demonstrate that cloud computing is a viable alternative that brings long-timescale processes within reach of a broader community. We used Google's Exacycle cloud-computing platform to simulate two milliseconds of dynamics of a major drug target, the G-protein-coupled receptor β2AR. Markov state models aggregate independent simulations into a single statistical model that is validated by previous computational and experimental results. Moreover, our models provide an atomistic description of the activation of a G-protein-coupled receptor and reveal multiple activation pathways. Agonists and inverse agonists interact differentially with these pathways, with profound implications for drug design.

X Demographics

X Demographics

The data shown below were collected from the profiles of 66 X users 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 401 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 3%
Germany 4 <1%
United Kingdom 4 <1%
China 3 <1%
Italy 2 <1%
Canada 2 <1%
Switzerland 1 <1%
Finland 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 368 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 124 31%
Researcher 105 26%
Student > Bachelor 38 9%
Student > Master 28 7%
Professor 17 4%
Other 47 12%
Unknown 42 10%
Readers by discipline Count As %
Chemistry 95 24%
Agricultural and Biological Sciences 84 21%
Biochemistry, Genetics and Molecular Biology 55 14%
Physics and Astronomy 35 9%
Computer Science 19 5%
Other 63 16%
Unknown 50 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 162. 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 25 July 2023.
All research outputs
#248,928
of 25,260,058 outputs
Outputs from Nature Chemistry
#103
of 3,307 outputs
Outputs of similar age
#2,222
of 321,366 outputs
Outputs of similar age from Nature Chemistry
#3
of 52 outputs
Altmetric has tracked 25,260,058 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,307 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.1. This one has done particularly well, scoring higher than 96% 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 321,366 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 99% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.