↓ Skip to main content

GPCRtm: An amino acid substitution matrix for the transmembrane region of class A G Protein-Coupled Receptors

Overview of attention for article published in BMC Bioinformatics, July 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
55 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
GPCRtm: An amino acid substitution matrix for the transmembrane region of class A G Protein-Coupled Receptors
Published in
BMC Bioinformatics, July 2015
DOI 10.1186/s12859-015-0639-4
Pubmed ID
Authors

Santiago Rios, Marta F. Fernandez, Gianluigi Caltabiano, Mercedes Campillo, Leonardo Pardo, Angel Gonzalez

Abstract

Protein sequence alignments and database search methods use standard scoring matrices calculated from amino acid substitution frequencies in general sets of proteins. These general-purpose matrices are not optimal to align accurately sequences with marked compositional biases, such as hydrophobic transmembrane regions found in membrane proteins. In this work, an amino acid substitution matrix (GPCRtm) is calculated for the membrane spanning segments of the G protein-coupled receptor (GPCR) rhodopsin family; one of the largest transmembrane protein family in humans with great importance in health and disease. The GPCRtm matrix reveals the amino acid compositional bias distinctive of the GPCR rhodopsin family and differs from other standard substitution matrices. These membrane receptors, as expected, are characterized by a high content of hydrophobic residues with regard to globular proteins. On the other hand, the presence of polar and charged residues is higher than in average membrane proteins, displaying high frequencies of replacement within themselves. Analysis of amino acid frequencies and values obtained from the GPCRtm matrix reveals patterns of residue replacements different from other standard substitution matrices. GPCRs prioritize the reactivity properties of the amino acids over their bulkiness in the transmembrane regions. A distinctive role is that charged and polar residues seem to evolve at different rates than other amino acids. This observation is related to the role of the transmembrane bundle in the binding of ligands, that in many cases involve electrostatic and hydrogen bond interactions. This new matrix can be useful in database search and for the construction of more accurate sequence alignments of GPCRs.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
Unknown 53 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 31%
Student > Ph. D. Student 8 15%
Student > Bachelor 7 13%
Student > Master 5 9%
Other 3 5%
Other 8 15%
Unknown 7 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 35%
Agricultural and Biological Sciences 17 31%
Computer Science 3 5%
Engineering 2 4%
Chemistry 2 4%
Other 6 11%
Unknown 6 11%
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 02 July 2015.
All research outputs
#20,282,766
of 22,816,807 outputs
Outputs from BMC Bioinformatics
#6,855
of 7,284 outputs
Outputs of similar age
#219,694
of 263,464 outputs
Outputs of similar age from BMC Bioinformatics
#104
of 110 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 1st percentile – i.e., 1% 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 263,464 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.