Title |
A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization
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Published in |
BMC Bioinformatics, June 2010
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DOI | 10.1186/1471-2105-11-316 |
Pubmed ID | |
Authors |
Eelke van der Horst, Julio E Peironcely, Adriaan P IJzerman, Margot W Beukers, Jonathan R Lane, Herman WT van Vlijmen, Michael TM Emmerich, Yasushi Okuno, Andreas Bender |
Abstract |
G protein-coupled receptors (GPCRs) represent a family of well-characterized drug targets with significant therapeutic value. Phylogenetic classifications may help to understand the characteristics of individual GPCRs and their subtypes. Previous phylogenetic classifications were all based on the sequences of receptors, adding only minor information about the ligand binding properties of the receptors. In this work, we compare a sequence-based classification of receptors to a ligand-based classification of the same group of receptors, and evaluate the potential to use sequence relatedness as a predictor for ligand interactions thus aiding the quest for ligands of orphan receptors. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 5 | 5% |
France | 2 | 2% |
Netherlands | 1 | <1% |
Sweden | 1 | <1% |
Denmark | 1 | <1% |
Spain | 1 | <1% |
Japan | 1 | <1% |
Unknown | 90 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 28 | 27% |
Student > Ph. D. Student | 26 | 25% |
Student > Master | 13 | 13% |
Professor > Associate Professor | 8 | 8% |
Student > Bachelor | 7 | 7% |
Other | 12 | 12% |
Unknown | 8 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 31 | 30% |
Chemistry | 22 | 22% |
Biochemistry, Genetics and Molecular Biology | 14 | 14% |
Medicine and Dentistry | 7 | 7% |
Computer Science | 6 | 6% |
Other | 13 | 13% |
Unknown | 9 | 9% |