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GPCRTree: online hierarchical classification of GPCR function
BACKGROUND: G protein-coupled receptors (GPCRs) play important physiological roles transducing extracellular signals into intracellular responses. Approximately 50% of all marketed drugs target a GPCR. There remains considerable interest in effectively predicting the function of a GPCR from its prim...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2547103/ https://www.ncbi.nlm.nih.gov/pubmed/18717986 http://dx.doi.org/10.1186/1756-0500-1-67 |
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author | Davies, Matthew N Secker, Andrew Halling-Brown, Mark Moss, David S Freitas, Alex A Timmis, Jon Clark, Edward Flower, Darren R |
author_facet | Davies, Matthew N Secker, Andrew Halling-Brown, Mark Moss, David S Freitas, Alex A Timmis, Jon Clark, Edward Flower, Darren R |
author_sort | Davies, Matthew N |
collection | PubMed |
description | BACKGROUND: G protein-coupled receptors (GPCRs) play important physiological roles transducing extracellular signals into intracellular responses. Approximately 50% of all marketed drugs target a GPCR. There remains considerable interest in effectively predicting the function of a GPCR from its primary sequence. FINDINGS: Using techniques drawn from data mining and proteochemometrics, an alignment-free approach to GPCR classification has been devised. It uses a simple representation of a protein's physical properties. GPCRTree, a publicly-available internet server, implements an algorithm that classifies GPCRs at the class, sub-family and sub-subfamily level. CONCLUSION: A selective top-down classifier was developed which assigns sequences within a GPCR hierarchy. Compared to other publicly available GPCR prediction servers, GPCRTree is considerably more accurate at every level of classification. The server has been available online since March 2008 at URL: . |
format | Text |
id | pubmed-2547103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25471032008-09-23 GPCRTree: online hierarchical classification of GPCR function Davies, Matthew N Secker, Andrew Halling-Brown, Mark Moss, David S Freitas, Alex A Timmis, Jon Clark, Edward Flower, Darren R BMC Res Notes Technical Note BACKGROUND: G protein-coupled receptors (GPCRs) play important physiological roles transducing extracellular signals into intracellular responses. Approximately 50% of all marketed drugs target a GPCR. There remains considerable interest in effectively predicting the function of a GPCR from its primary sequence. FINDINGS: Using techniques drawn from data mining and proteochemometrics, an alignment-free approach to GPCR classification has been devised. It uses a simple representation of a protein's physical properties. GPCRTree, a publicly-available internet server, implements an algorithm that classifies GPCRs at the class, sub-family and sub-subfamily level. CONCLUSION: A selective top-down classifier was developed which assigns sequences within a GPCR hierarchy. Compared to other publicly available GPCR prediction servers, GPCRTree is considerably more accurate at every level of classification. The server has been available online since March 2008 at URL: . BioMed Central 2008-08-21 /pmc/articles/PMC2547103/ /pubmed/18717986 http://dx.doi.org/10.1186/1756-0500-1-67 Text en Copyright © 2008 Davies et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Note Davies, Matthew N Secker, Andrew Halling-Brown, Mark Moss, David S Freitas, Alex A Timmis, Jon Clark, Edward Flower, Darren R GPCRTree: online hierarchical classification of GPCR function |
title | GPCRTree: online hierarchical classification of GPCR function |
title_full | GPCRTree: online hierarchical classification of GPCR function |
title_fullStr | GPCRTree: online hierarchical classification of GPCR function |
title_full_unstemmed | GPCRTree: online hierarchical classification of GPCR function |
title_short | GPCRTree: online hierarchical classification of GPCR function |
title_sort | gpcrtree: online hierarchical classification of gpcr function |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2547103/ https://www.ncbi.nlm.nih.gov/pubmed/18717986 http://dx.doi.org/10.1186/1756-0500-1-67 |
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