PRECOG: PREdicting COupling probabilities of G-protein coupled receptors

被引:16
|
作者
Singh, Gurdeep [1 ,2 ]
Inoue, Asuka [3 ]
Gutkind, J. Silvio [4 ,5 ]
Russell, Robert B. [1 ,2 ]
Raimondi, Francesco [1 ,2 ]
机构
[1] Heidelberg Univ, Bioquant, CellNetworks, Neuenheimer Feld 267, D-69120 Heidelberg, Germany
[2] Heidelberg Univ, BZH, Neuenheimer Feld 328, D-69120 Heidelberg, Germany
[3] Tohoku Univ, Grad Sch Pharmaceut Sci, Sendai, Miyagi 9808578, Japan
[4] Univ Calif San Diego, Dept Pharmacol, La Jolla, CA 92093 USA
[5] Univ Calif San Diego, Moores Canc Ctr, La Jolla, CA 92093 USA
关键词
STRUCTURAL COMMUNICATION; STRUCTURE NETWORK; GPCRS; SPECIFICITY; SUBTYPES; MACHINE; MODELS;
D O I
10.1093/nar/gkz392
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
G-protein coupled receptors (GPCRs) control multiple physiological states by transducing a multitude of extracellular stimuli into the cell via coupling to intra-cellular heterotrimeric G-proteins. Deciphering which G-proteins couple to each of the hundreds of GPCRs present in a typical eukaryotic organism is therefore critical to understand signalling. Here, we present PRECOG (precog.russelllab.org): a web server for predicting GPCR coupling, which allows users to: (i) predict coupling probabilities for GPCRs to individual G-proteins instead of subfamilies; (ii) visually inspect the protein sequence and structural features that are responsible for a particular coupling; (iii) suggest mutations to rationally design artificial GPCRs with new coupling properties based on predetermined coupling features.
引用
收藏
页码:W395 / W401
页数:7
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