Skip Navigation

Nucleic Acids Research 2005 33(Web Server Issue):W143-W147; doi:10.1093/nar/gki351
This Article
Right arrow Full Text Freely available
Right arrow Print PDF (769K) Freely available
Right arrow Screen PDF (270K) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Commercial Re-use Guidelines
for Open Access NAR Content
Google Scholar
Right arrow Articles by Bhasin, M.
Right arrow Articles by Raghava, G. P. S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Bhasin, M.
Right arrow Articles by Raghava, G. P. S.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2005. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oupjournals.org

Article

GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptors

Manoj Bhasin and G. P. S. Raghava*

Bioinformatics Center, Institute of Microbial Technology, Sector 39A, Chandigarh, India

*To whom the correspondence should be addressed. Tel: +91 172 2690557/2695225; Fax: +91 172 2690632/2690585; Email: raghava{at}imtech.res.in

Received November 15, 2004. Revised December 6, 2004. Accepted December 6, 2004.

The receptors of amine subfamily are specifically major drug targets for therapy of nervous disorders and psychiatric diseases. The recognition of novel amine type of receptors and their cognate ligands is of paramount interest for pharmaceutical companies. In the past, Chou and co-workers have shown that different types of amine receptors are correlated with their amino acid composition and are predictable on its basis with considerable accuracy [Elrod and Chou (2002) Protein Eng., 15, 713–715]. This motivated us to develop a better method for the recognition of novel amine receptors and for their further classification. The method was developed on the basis of amino acid composition and dipeptide composition of proteins using support vector machine. The method was trained and tested on 167 proteins of amine subfamily of G-protein-coupled receptors (GPCRs). The method discriminated amine subfamily of GPCRs from globular proteins with Matthew's correlation coefficient of 0.98 and 0.99 using amino acid composition and dipeptide composition, respectively. In classifying different types of amine receptors using amino acid composition and dipeptide composition, the method achieved an accuracy of 89.8 and 96.4%, respectively. The performance of the method was evaluated using 5-fold cross-validation. The dipeptide composition based method predicted 67.6% of protein sequences with an accuracy of 100% with a reliability index ≥5. A web server GPCRsclass has been developed for predicting amine-binding receptors from its amino acid sequence [http://www.imtech.res.in/raghava/gpcrsclass/ and http://bioinformatics.uams.edu/raghava/gpersclass/ (mirror site)].


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Protein Eng Des SelHome page
W.-Z. Lin, X. Xiao, and K.-C. Chou
GPCR-GIA: a web-server for identifying G-protein coupled receptors and their families with grey incidence analysis
Protein Eng. Des. Sel., November 1, 2009; 22(11): 699 - 705.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
M. N. Davies, A. Secker, A. A. Freitas, M. Mendao, J. Timmis, and D. R. Flower
On the hierarchical classification of G protein-coupled receptors
Bioinformatics, December 1, 2007; 23(23): 3113 - 3118.
[Abstract] [Full Text] [PDF]

Home page
 Protein Eng Des SelHome page
Q.-B. Gao and Z.-Z. Wang
Classification of G-protein coupled receptors at four levels
Protein Eng. Des. Sel., November 1, 2006; 19(11): 511 - 516.
[Abstract] [Full Text] [PDF]


Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.