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Combining theoretical and experimental data to decipher CFTR 3D structures and functions

Overview of attention for article published in Cellular and Molecular Life Sciences, May 2018
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39 Mendeley
Title
Combining theoretical and experimental data to decipher CFTR 3D structures and functions
Published in
Cellular and Molecular Life Sciences, May 2018
DOI 10.1007/s00018-018-2835-7
Pubmed ID
Authors

Brice Hoffmann, Ahmad Elbahnsi, Pierre Lehn, Jean-Luc Décout, Fabio Pietrucci, Jean-Paul Mornon, Isabelle Callebaut

Abstract

Cryo-electron microscopy (cryo-EM) has recently provided invaluable experimental data about the full-length cystic fibrosis transmembrane conductance regulator (CFTR) 3D structure. However, this experimental information deals with inactive states of the channel, either in an apo, quiescent conformation, in which nucleotide-binding domains (NBDs) are widely separated or in an ATP-bound, yet closed conformation. Here, we show that 3D structure models of the open and closed forms of the channel, now further supported by metadynamics simulations and by comparison with the cryo-EM data, could be used to gain some insights into critical features of the conformational transition toward active CFTR forms. These critical elements lie within membrane-spanning domains but also within NBD1 and the N-terminal extension, in which conformational plasticity is predicted to occur to help the interaction with filamin, one of the CFTR cellular partners.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Researcher 4 10%
Student > Bachelor 2 5%
Professor 2 5%
Student > Doctoral Student 2 5%
Other 6 15%
Unknown 12 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 15%
Agricultural and Biological Sciences 6 15%
Chemistry 4 10%
Physics and Astronomy 3 8%
Computer Science 1 3%
Other 6 15%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 May 2018.
All research outputs
#16,031,680
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#3,071
of 4,151 outputs
Outputs of similar age
#211,709
of 330,919 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#26
of 44 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,151 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% 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 330,919 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.