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PRECOG: PREdicting COupling probabilities of G-protein coupled receptors
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 o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602504/ https://www.ncbi.nlm.nih.gov/pubmed/31143927 http://dx.doi.org/10.1093/nar/gkz392 |
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author | Singh, Gurdeep Inoue, Asuka Gutkind, J Silvio Russell, Robert B Raimondi, Francesco |
author_facet | Singh, Gurdeep Inoue, Asuka Gutkind, J Silvio Russell, Robert B Raimondi, Francesco |
author_sort | Singh, Gurdeep |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6602504 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-66025042019-07-05 PRECOG: PREdicting COupling probabilities of G-protein coupled receptors Singh, Gurdeep Inoue, Asuka Gutkind, J Silvio Russell, Robert B Raimondi, Francesco Nucleic Acids Res Web Server Issue 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. Oxford University Press 2019-07-02 2019-05-30 /pmc/articles/PMC6602504/ /pubmed/31143927 http://dx.doi.org/10.1093/nar/gkz392 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server Issue Singh, Gurdeep Inoue, Asuka Gutkind, J Silvio Russell, Robert B Raimondi, Francesco PRECOG: PREdicting COupling probabilities of G-protein coupled receptors |
title | PRECOG: PREdicting COupling probabilities of G-protein coupled receptors |
title_full | PRECOG: PREdicting COupling probabilities of G-protein coupled receptors |
title_fullStr | PRECOG: PREdicting COupling probabilities of G-protein coupled receptors |
title_full_unstemmed | PRECOG: PREdicting COupling probabilities of G-protein coupled receptors |
title_short | PRECOG: PREdicting COupling probabilities of G-protein coupled receptors |
title_sort | precog: predicting coupling probabilities of g-protein coupled receptors |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6602504/ https://www.ncbi.nlm.nih.gov/pubmed/31143927 http://dx.doi.org/10.1093/nar/gkz392 |
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