Physicochemical properties of GPCR amino acid sequences for understanding GPCR-G-protein coupling
نویسندگان
چکیده
منابع مشابه
Physicochemical properties of GPCR amino acid sequences for understanding GPCR-G-protein coupling
G-protein coupled receptors (GPCRs) bind with G-proteins upon activation by ligands. Understanding the mechanisms of specific binding between GPCRs and G-proteins is one of the most important issues in bioinformatics research. In this study, the physical properties of various regions were analyzed in order to classify GPCRs by G-protein family and to better understand binding specificity. We fo...
متن کاملPhysicochemical properties of amino acid sequences of G-proteins for understanding GPCR-G-protein coupling
A G-protein binds to a G-protein-coupled-receptor (GPCR) by physical interactions between the amino acid sequences. Various physical properties of possible binding regions at the Cand N-termini of the α subunits of G-proteins were analyzed in order to classify the four families of α subunits; α s, α i/o, α q/11 and α 12/13, as well as the eight subfamilies. The distribution of the charge densit...
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We describe a novel method for predicting G-protein coupled receptor (GPCR) G-protein coupling selectivity using amino acid properties of specific residues in GPCR sequences. We have evaluated various amino acid properties obtained with experimental or theoretical studies. The GPCRs having reliable G-protein binding information were collected from Guide to Receptors and Channels (GRAC) and gpDB...
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G protein-coupled receptors (GPCRs) are membrane receptors; approximately 40% of drugs on the market target GPCRs. A precise understanding of the activation mechanism of GPCRs would facilitate the development of more effective and less toxic drugs. Heterotrimeric G proteins are important molecular switches in GPCR-mediated signal transduction. An agonist-activated receptor interacts with specif...
متن کاملOptimizing amino acid groupings for GPCR classification
MOTIVATION There is much interest in reducing the complexity inherent in the representation of the 20 standard amino acids within bioinformatics algorithms by developing a so-called reduced alphabet. Although there is no universally applicable residue grouping, there are numerous physiochemical criteria upon which one can base groupings. Local descriptors are a form of alignment-free analysis, ...
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ژورنال
عنوان ژورنال: Chem-Bio Informatics Journal
سال: 2008
ISSN: 1347-0442,1347-6297
DOI: 10.1273/cbij.8.49