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Molecular Mechanism for the Dual Alcohol Modulation of Cys-loop Receptors

Overview of attention for article published in PLoS Computational Biology, October 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

blogs
1 blog

Citations

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36 Dimensions

Readers on

mendeley
42 Mendeley
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1 CiteULike
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Title
Molecular Mechanism for the Dual Alcohol Modulation of Cys-loop Receptors
Published in
PLoS Computational Biology, October 2012
DOI 10.1371/journal.pcbi.1002710
Pubmed ID
Authors

Samuel Murail, Rebecca J. Howard, Torben Broemstrup, Edward J. Bertaccini, R. Adron Harris, James R. Trudell, Erik Lindahl

Abstract

Cys-loop receptors constitute a superfamily of pentameric ligand-gated ion channels (pLGICs), including receptors for acetylcholine, serotonin, glycine and γ-aminobutyric acid. Several bacterial homologues have been identified that are excellent models for understanding allosteric binding of alcohols and anesthetics in human Cys-loop receptors. Recently, we showed that a single point mutation on a prokaryotic homologue (GLIC) could transform it from a channel weakly potentiated by ethanol into a highly ethanol-sensitive channel. Here, we have employed molecular simulations to study ethanol binding to GLIC, and to elucidate the role of the ethanol-enhancing mutation in GLIC modulation. By performing 1-µs simulations with and without ethanol on wild-type and mutated GLIC, we observed spontaneous binding in both intra-subunit and inter-subunit transmembrane cavities. In contrast to the glycine receptor GlyR, in which we previously observed ethanol binding primarily in an inter-subunit cavity, ethanol primarily occupied an intra-subunit cavity in wild-type GLIC. However, the highly ethanol-sensitive GLIC mutation significantly enhanced ethanol binding in the inter-subunit cavity. These results demonstrate dramatic effects of the F(14')A mutation on the distribution of ligands, and are consistent with a two-site model of pLGIC inhibition and potentiation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 2%
United States 1 2%
Unknown 40 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 38%
Researcher 7 17%
Student > Master 5 12%
Student > Bachelor 4 10%
Student > Doctoral Student 2 5%
Other 3 7%
Unknown 5 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 36%
Chemistry 7 17%
Biochemistry, Genetics and Molecular Biology 4 10%
Physics and Astronomy 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Other 5 12%
Unknown 6 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 June 2013.
All research outputs
#6,712,260
of 25,806,080 outputs
Outputs from PLoS Computational Biology
#4,553
of 9,043 outputs
Outputs of similar age
#49,000
of 192,416 outputs
Outputs of similar age from PLoS Computational Biology
#40
of 115 outputs
Altmetric has tracked 25,806,080 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 9,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 192,416 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.