Davies, Matthew N., Secker, Andrew D., Halling-Brown, Mark, Moss, David S., Freitas, Alex A., Timmis, Jon, Clark, Edward, Flower, Darren R. (2008) GPCRTree: online hierarchical classification of GPCR function. BMC Research Notes, 1 (67). 5 pages. ISSN 1756-0500. (doi:10.1186/1756-0500-1-67) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:24050)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1186/1756-0500-1-67 |
Abstract
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.
Item Type: | Article |
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DOI/Identification number: | 10.1186/1756-0500-1-67 |
Uncontrolled keywords: | classification, data mining, bioinformatics |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Mark Wheadon |
Date Deposited: | 29 Mar 2010 12:12 UTC |
Last Modified: | 05 Nov 2024 10:03 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/24050 (The current URI for this page, for reference purposes) |
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