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A Numbering System for MFS Transporter Proteins

Overview of attention for article published in Frontiers in Molecular Biosciences, June 2016
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Title
A Numbering System for MFS Transporter Proteins
Published in
Frontiers in Molecular Biosciences, June 2016
DOI 10.3389/fmolb.2016.00021
Pubmed ID
Authors

Joanna Lee, Zara A. Sands, Philip C. Biggin

Abstract

The Major Facilitator Superfamily (MFS) is one of the largest classes of secondary active transporters and is widely expressed in many domains of life. It is characterized by a common 12-transmembrane helix motif that allows the selective transport of a vast range of diverse substrates across the membrane. MFS transporters play a central role in many physiological processes and are increasingly recognized as potential drug targets. Despite intensive efforts, there are still only a handful of crystal structures and therefore homology modeling is likely to be a necessary process for providing models to interpret experiments for many years to come. However, the diversity of sequences and the multiple conformational states these proteins can exist in makes the process significantly more complicated, especially for sequences for which there is very little sequence identity to known templates. Inspired by the approach adopted many years ago for GPCRs, we have analyzed the large number of MFS sequences now available alongside the current structural information to propose a series of conserved contact points that can provide additional guidance for the homology modeling process. To enable cross-comparison across MFS models we also present a numbering scheme that can be used to provide a point of reference within each of the 12 transmembrane regions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 86 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Researcher 9 10%
Student > Doctoral Student 9 10%
Student > Bachelor 8 9%
Student > Master 7 8%
Other 9 10%
Unknown 24 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 28%
Agricultural and Biological Sciences 13 15%
Immunology and Microbiology 6 7%
Chemistry 4 5%
Veterinary Science and Veterinary Medicine 2 2%
Other 10 12%
Unknown 27 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 February 2017.
All research outputs
#13,979,702
of 22,870,727 outputs
Outputs from Frontiers in Molecular Biosciences
#1,033
of 3,802 outputs
Outputs of similar age
#184,961
of 339,272 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#6
of 20 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,802 research outputs from this source. They receive a mean Attention Score of 3.3. This one has gotten more attention than average, scoring higher than 70% 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 339,272 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 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 70% of its contemporaries.