↓ Skip to main content

AFAL: a web service for profiling amino acids surrounding ligands in proteins

Overview of attention for article published in Perspectives in Drug Discovery and Design, August 2014
Altmetric Badge

Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
30 Mendeley
citeulike
1 CiteULike
Title
AFAL: a web service for profiling amino acids surrounding ligands in proteins
Published in
Perspectives in Drug Discovery and Design, August 2014
DOI 10.1007/s10822-014-9783-6
Pubmed ID
Authors

Mauricio Arenas-Salinas, Samuel Ortega-Salazar, Fernando Gonzales-Nilo, Ehmke Pohl, David S. Holmes, Raquel Quatrini

Abstract

With advancements in crystallographic technology and the increasing wealth of information populating structural databases, there is an increasing need for prediction tools based on spatial information that will support the characterization of proteins and protein-ligand interactions. Herein, a new web service is presented termed amino acid frequency around ligand (AFAL) for determining amino acids type and frequencies surrounding ligands within proteins deposited in the Protein Data Bank and for assessing the atoms and atom-ligand distances involved in each interaction (availability: http://structuralbio.utalca.cl/AFAL/index.html ). AFAL allows the user to define a wide variety of filtering criteria (protein family, source organism, resolution, sequence redundancy and distance) in order to uncover trends and evolutionary differences in amino acid preferences that define interactions with particular ligands. Results obtained from AFAL provide valuable statistical information about amino acids that may be responsible for establishing particular ligand-protein interactions. The analysis will enable investigators to compare ligand-binding sites of different proteins and to uncover general as well as specific interaction patterns from existing data. Such patterns can be used subsequently to predict ligand binding in proteins that currently have no structural information and to refine the interpretation of existing protein models. The application of AFAL is illustrated by the analysis of proteins interacting with adenosine-5'-triphosphate.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 3%
Argentina 1 3%
Unknown 28 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 33%
Researcher 7 23%
Professor > Associate Professor 4 13%
Student > Doctoral Student 3 10%
Student > Bachelor 2 7%
Other 1 3%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 23%
Computer Science 6 20%
Chemistry 5 17%
Biochemistry, Genetics and Molecular Biology 5 17%
Environmental Science 1 3%
Other 2 7%
Unknown 4 13%
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 05 August 2014.
All research outputs
#22,834,739
of 25,460,914 outputs
Outputs from Perspectives in Drug Discovery and Design
#868
of 949 outputs
Outputs of similar age
#207,044
of 241,208 outputs
Outputs of similar age from Perspectives in Drug Discovery and Design
#14
of 17 outputs
Altmetric has tracked 25,460,914 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 949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 241,208 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 17 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.