On the hierarchical classification of G protein-coupled receptors | Zendy

Matthew N. Davies | Zendy; Andrew Secker | Zendy; Alex A. Freitas | Zendy; Miguel Mendao | Zendy; Jon Timmis | Zendy; Darren R. Flower | Zendy

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On the hierarchical classification of G protein-coupled receptors

Author(s) -

Matthew N. Davies,

Andrew Secker,

Alex A. Freitas,

Miguel Mendao,

Jon Timmis,

Darren R. Flower

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm506

Subject(s) - g protein coupled receptor , computer science , classifier (uml) , data mining , artificial intelligence , support vector machine , chembl , representation (politics) , machine learning , drug discovery , bioinformatics , biology , receptor , biochemistry , politics , political science , law

G protein-coupled receptors (GPCRs) play an important role in many physiological systems by transducing an extracellular signal into an intracellular response. Over 50% of all marketed drugs are targeted towards a GPCR. There is considerable interest in developing an algorithm that could effectively predict the function of a GPCR from its primary sequence. Such an algorithm is useful not only in identifying novel GPCR sequences but in characterizing the interrelationships between known GPCRs.

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