Unknown

Dataset Information

0

PRECOG: PREdicting COupling probabilities of G-protein coupled receptors.


ABSTRACT: 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.

SUBMITTER: Singh G 

PROVIDER: S-EPMC6602504 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

PRECOG: PREdicting COupling probabilities of G-protein coupled receptors.

Singh Gurdeep G   Inoue Asuka A   Gutkind J Silvio JS   Russell Robert B RB   Russell Robert B RB   Raimondi Francesco F  

Nucleic acids research 20190701 W1


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 probabil  ...[more]

Similar Datasets

| S-EPMC3315628 | biostudies-literature
| S-EPMC5386826 | biostudies-literature
| S-EPMC2771364 | biostudies-literature
| S-EPMC4605854 | biostudies-literature
| S-EPMC8831737 | biostudies-literature
| S-EPMC10757641 | biostudies-literature
| S-EPMC7302841 | biostudies-literature
| S-EPMC4322417 | biostudies-literature
| S-EPMC7945687 | biostudies-literature
| S-EPMC2530877 | biostudies-literature