Prediction of the coupling specificity of G protein coupled receptors to their G proteins
Autor: | Michael D. R. Croning, Steffen Möller, Jaak Vilo |
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Předmět: |
Statistics and Probability
G protein Receptors Cell Surface Ligands Models Biological Biochemistry Pattern Recognition Automated GTP-Binding Proteins Protein A/G Protein function prediction 5-HT5A receptor Amino Acid Sequence Databases Protein Molecular Biology G protein-coupled receptor G protein-coupled receptor kinase Binding Sites biology Chemistry GRB10 Computational Biology Computer Science Applications Computational Mathematics Computational Theory and Mathematics biology.protein Protein G Signal Transduction |
Zdroj: | Scopus-Elsevier ISMB (Supplement of Bioinformatics) |
Popis: | G protein coupled receptors (GPCRs) are found in great numbers in most eukaryotic genomes. They are responsible for sensing a staggering variety of structurally diverse ligands, with their activation resulting in the initiation of a variety of cellular signalling cascades. The physiological response that is observed following receptor activation is governed by the guanine nucleotide-binding proteins (G proteins) to which a particular receptor chooses to couple. Previous investigations have demonstrated that the specificity of the receptor-G protein interaction is governed by the intracellular domains of the receptor. Despite many studies it has proven very difficult to predict de novo , from the receptor sequence alone, the G proteins to which a GPCR is most likely to couple. We have used a data-mining approach, combining pattern discovery with membrane topology prediction, to find patterns of amino acid residues in the intracellular domains of GPCR sequences that are specific for coupling to a particular functional class of G proteins. A prediction system was then built, being based upon these discovered patterns. We can report this approach was successful in the prediction of G protein coupling specificity of unknown sequences. Such predictions should be of great use in providing in silico characterisation of newly cloned receptor sequences and for improving the annotation of GPCRs stored in protein sequence databases. Available at: http://www.ebi.ac.uk/~croning/coupling.html Contact: croning@ebi.ac.uk |
Databáze: | OpenAIRE |
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