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Structure-based statistical analysis of transmembrane helices

Overview of attention for article published in European Biophysics Journal, May 2012
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Title
Structure-based statistical analysis of transmembrane helices
Published in
European Biophysics Journal, May 2012
DOI 10.1007/s00249-012-0813-9
Pubmed ID
Authors

Carlos Baeza-Delgado, Marc A. Marti-Renom, Ismael Mingarro

Abstract

Recent advances in determination of the high-resolution structure of membrane proteins now enable analysis of the main features of amino acids in transmembrane (TM) segments in comparison with amino acids in water-soluble helices. In this work, we conducted a large-scale analysis of the prevalent locations of amino acids by using a data set of 170 structures of integral membrane proteins obtained from the MPtopo database and 930 structures of water-soluble helical proteins obtained from the protein data bank. Large hydrophobic amino acids (Leu, Val, Ile, and Phe) plus Gly were clearly prevalent in TM helices whereas polar amino acids (Glu, Lys, Asp, Arg, and Gln) were less frequent in this type of helix. The distribution of amino acids along TM helices was also examined. As expected, hydrophobic and slightly polar amino acids are commonly found in the hydrophobic core of the membrane whereas aromatic (Trp and Tyr), Pro, and the hydrophilic amino acids (Asn, His, and Gln) occur more frequently in the interface regions. Charged amino acids are also statistically prevalent outside the hydrophobic core of the membrane, and whereas acidic amino acids are frequently found at both cytoplasmic and extra-cytoplasmic interfaces, basic amino acids cluster at the cytoplasmic interface. These results strongly support the experimentally demonstrated biased distribution of positively charged amino acids (that is, the so-called the positive-inside rule) with structural data.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 2%
United States 2 2%
France 1 1%
Norway 1 1%
Unknown 82 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Student > Bachelor 15 17%
Researcher 13 15%
Professor 7 8%
Student > Master 7 8%
Other 10 11%
Unknown 16 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 43%
Biochemistry, Genetics and Molecular Biology 21 24%
Chemistry 6 7%
Computer Science 3 3%
Engineering 3 3%
Other 1 1%
Unknown 16 18%
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 26 February 2013.
All research outputs
#18,331,227
of 22,699,621 outputs
Outputs from European Biophysics Journal
#381
of 488 outputs
Outputs of similar age
#126,243
of 163,810 outputs
Outputs of similar age from European Biophysics Journal
#3
of 5 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 488 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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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 2 of them.