Davies, M.N. and Secker, A. and Halling-Brown, Mark D. and Moss, David S. and Freitas, A.A. and Timmis, J. and Clark, E. and Flower, D.R. (2008) GPCRTree: online hierarchical classification of GPCR function. BMC Research Notes 1 , p. 67. ISSN 1756-0500.
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Abstract
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: http://igrid-ext.cryst.bbk.ac.uk/gpcrtree/
Metadata
| Item Type: | Article |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Natural Sciences |
| Research Centres and Institutes: | Structural Molecular Biology, Institute of (ISMB) |
| Depositing User: | Administrator |
| Date Deposited: | 04 Aug 2010 14:09 |
| Last Modified: | 02 Aug 2023 16:49 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/1047 |
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