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RampDB: a web application and database for the exploration and prediction of receptor activity modifying protein interactions

Receptor Activity Modifying Proteins (RAMPs) serve as accessory proteins that modulate the signaling activities of G-Protein Coupled Receptors (GPCRs). RAMPs function by interacting with the N-termini and transmembrane domains of GPCRs, and the receptor phenotypes of the resulting complexes are dete...

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Autores principales: Topaz, Nadav, Mojib, Nazia, Chande, Aroon T., Kubanek, Julia, Jordan, I. King
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737055/
https://www.ncbi.nlm.nih.gov/pubmed/29220456
http://dx.doi.org/10.1093/database/bax067
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author Topaz, Nadav
Mojib, Nazia
Chande, Aroon T.
Kubanek, Julia
Jordan, I. King
author_facet Topaz, Nadav
Mojib, Nazia
Chande, Aroon T.
Kubanek, Julia
Jordan, I. King
author_sort Topaz, Nadav
collection PubMed
description Receptor Activity Modifying Proteins (RAMPs) serve as accessory proteins that modulate the signaling activities of G-Protein Coupled Receptors (GPCRs). RAMPs function by interacting with the N-termini and transmembrane domains of GPCRs, and the receptor phenotypes of the resulting complexes are determined by the specific isoform of the interacting RAMPs. RAMPs were discovered in 1998, and since that time the number of known RAMP-GPCR interactions has steadily increased; RAMPs are now known to interact with nearly every member of the class ‘B’, Secretin receptor family of peptide-binding GPCRs as well as some members of the class ‘A’ and ‘C’ peptide-binding GPCRs. Given the steadily increasing number of known RAMP–GPCR interactions, phenotypes and functions, there is a pressing need for a central resource dedicated to their storage, prediction and dissemination. We have developed a web application and database—RampDB—with the goal of addressing this need. RampDB consists of a custom RAMP–GPCR–ligand database integrated with a search utility, which together facilitate the exploration and analysis of RAMP interactions. The RampDB search utility allows users to explore known RAMP interactions, or to predict novel interactions, via either protein sequence (bioinformatic) or ligand (chemoinformatic) queries. The underlying architecture of RampDB was designed using best database practices in order to enable rapid retrieval of search results, automated updates and the seamless incorporation of additional features. Database URL: http://rampdb.biology.gatech.edu
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spelling pubmed-57370552018-01-08 RampDB: a web application and database for the exploration and prediction of receptor activity modifying protein interactions Topaz, Nadav Mojib, Nazia Chande, Aroon T. Kubanek, Julia Jordan, I. King Database (Oxford) Original Article Receptor Activity Modifying Proteins (RAMPs) serve as accessory proteins that modulate the signaling activities of G-Protein Coupled Receptors (GPCRs). RAMPs function by interacting with the N-termini and transmembrane domains of GPCRs, and the receptor phenotypes of the resulting complexes are determined by the specific isoform of the interacting RAMPs. RAMPs were discovered in 1998, and since that time the number of known RAMP-GPCR interactions has steadily increased; RAMPs are now known to interact with nearly every member of the class ‘B’, Secretin receptor family of peptide-binding GPCRs as well as some members of the class ‘A’ and ‘C’ peptide-binding GPCRs. Given the steadily increasing number of known RAMP–GPCR interactions, phenotypes and functions, there is a pressing need for a central resource dedicated to their storage, prediction and dissemination. We have developed a web application and database—RampDB—with the goal of addressing this need. RampDB consists of a custom RAMP–GPCR–ligand database integrated with a search utility, which together facilitate the exploration and analysis of RAMP interactions. The RampDB search utility allows users to explore known RAMP interactions, or to predict novel interactions, via either protein sequence (bioinformatic) or ligand (chemoinformatic) queries. The underlying architecture of RampDB was designed using best database practices in order to enable rapid retrieval of search results, automated updates and the seamless incorporation of additional features. Database URL: http://rampdb.biology.gatech.edu Oxford University Press 2017-09-06 /pmc/articles/PMC5737055/ /pubmed/29220456 http://dx.doi.org/10.1093/database/bax067 Text en © The Author(s) 2017. Published by Oxford University Press. 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 Original Article
Topaz, Nadav
Mojib, Nazia
Chande, Aroon T.
Kubanek, Julia
Jordan, I. King
RampDB: a web application and database for the exploration and prediction of receptor activity modifying protein interactions
title RampDB: a web application and database for the exploration and prediction of receptor activity modifying protein interactions
title_full RampDB: a web application and database for the exploration and prediction of receptor activity modifying protein interactions
title_fullStr RampDB: a web application and database for the exploration and prediction of receptor activity modifying protein interactions
title_full_unstemmed RampDB: a web application and database for the exploration and prediction of receptor activity modifying protein interactions
title_short RampDB: a web application and database for the exploration and prediction of receptor activity modifying protein interactions
title_sort rampdb: a web application and database for the exploration and prediction of receptor activity modifying protein interactions
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737055/
https://www.ncbi.nlm.nih.gov/pubmed/29220456
http://dx.doi.org/10.1093/database/bax067
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