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

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 w...

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Autores principales: Arenas-Salinas, Mauricio, Ortega-Salazar, Samuel, Gonzales-Nilo, Fernando, Pohl, Ehmke, Holmes, David S., Quatrini, Raquel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4241235/
https://www.ncbi.nlm.nih.gov/pubmed/25085083
http://dx.doi.org/10.1007/s10822-014-9783-6
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author Arenas-Salinas, Mauricio
Ortega-Salazar, Samuel
Gonzales-Nilo, Fernando
Pohl, Ehmke
Holmes, David S.
Quatrini, Raquel
author_facet Arenas-Salinas, Mauricio
Ortega-Salazar, Samuel
Gonzales-Nilo, Fernando
Pohl, Ehmke
Holmes, David S.
Quatrini, Raquel
author_sort Arenas-Salinas, Mauricio
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10822-014-9783-6) contains supplementary material, which is available to authorized users.
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spelling pubmed-42412352014-11-25 AFAL: a web service for profiling amino acids surrounding ligands in proteins Arenas-Salinas, Mauricio Ortega-Salazar, Samuel Gonzales-Nilo, Fernando Pohl, Ehmke Holmes, David S. Quatrini, Raquel J Comput Aided Mol Des Article 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10822-014-9783-6) contains supplementary material, which is available to authorized users. Springer International Publishing 2014-08-02 2014 /pmc/articles/PMC4241235/ /pubmed/25085083 http://dx.doi.org/10.1007/s10822-014-9783-6 Text en © The Author(s) 2014 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Article
Arenas-Salinas, Mauricio
Ortega-Salazar, Samuel
Gonzales-Nilo, Fernando
Pohl, Ehmke
Holmes, David S.
Quatrini, Raquel
AFAL: a web service for profiling amino acids surrounding ligands in proteins
title AFAL: a web service for profiling amino acids surrounding ligands in proteins
title_full AFAL: a web service for profiling amino acids surrounding ligands in proteins
title_fullStr AFAL: a web service for profiling amino acids surrounding ligands in proteins
title_full_unstemmed AFAL: a web service for profiling amino acids surrounding ligands in proteins
title_short AFAL: a web service for profiling amino acids surrounding ligands in proteins
title_sort afal: a web service for profiling amino acids surrounding ligands in proteins
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4241235/
https://www.ncbi.nlm.nih.gov/pubmed/25085083
http://dx.doi.org/10.1007/s10822-014-9783-6
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