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Computational Drug Design Applied to the Study of Metabotropic Glutamate Receptors
Metabotropic glutamate (mGlu) receptors are a family of eight GPCRs that are attractive drug discovery targets to modulate glutamate action and response. Here we review the application of computational methods to the study of this family of receptors. X-ray structures of the extracellular and 7-tran...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470756/ https://www.ncbi.nlm.nih.gov/pubmed/30897742 http://dx.doi.org/10.3390/molecules24061098 |
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author | Llinas del Torrent, Claudia Pérez-Benito, Laura Tresadern, Gary |
author_facet | Llinas del Torrent, Claudia Pérez-Benito, Laura Tresadern, Gary |
author_sort | Llinas del Torrent, Claudia |
collection | PubMed |
description | Metabotropic glutamate (mGlu) receptors are a family of eight GPCRs that are attractive drug discovery targets to modulate glutamate action and response. Here we review the application of computational methods to the study of this family of receptors. X-ray structures of the extracellular and 7-transmembrane domains have played an important role to enable structure-based modeling approaches, whilst we also discuss the successful application of ligand-based methods. We summarize the literature and highlight the areas where modeling and experiment have delivered important understanding for mGlu receptor drug discovery. Finally, we offer suggestions of future areas of opportunity for computational work. |
format | Online Article Text |
id | pubmed-6470756 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-64707562019-04-26 Computational Drug Design Applied to the Study of Metabotropic Glutamate Receptors Llinas del Torrent, Claudia Pérez-Benito, Laura Tresadern, Gary Molecules Review Metabotropic glutamate (mGlu) receptors are a family of eight GPCRs that are attractive drug discovery targets to modulate glutamate action and response. Here we review the application of computational methods to the study of this family of receptors. X-ray structures of the extracellular and 7-transmembrane domains have played an important role to enable structure-based modeling approaches, whilst we also discuss the successful application of ligand-based methods. We summarize the literature and highlight the areas where modeling and experiment have delivered important understanding for mGlu receptor drug discovery. Finally, we offer suggestions of future areas of opportunity for computational work. MDPI 2019-03-20 /pmc/articles/PMC6470756/ /pubmed/30897742 http://dx.doi.org/10.3390/molecules24061098 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Llinas del Torrent, Claudia Pérez-Benito, Laura Tresadern, Gary Computational Drug Design Applied to the Study of Metabotropic Glutamate Receptors |
title | Computational Drug Design Applied to the Study of Metabotropic Glutamate Receptors |
title_full | Computational Drug Design Applied to the Study of Metabotropic Glutamate Receptors |
title_fullStr | Computational Drug Design Applied to the Study of Metabotropic Glutamate Receptors |
title_full_unstemmed | Computational Drug Design Applied to the Study of Metabotropic Glutamate Receptors |
title_short | Computational Drug Design Applied to the Study of Metabotropic Glutamate Receptors |
title_sort | computational drug design applied to the study of metabotropic glutamate receptors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470756/ https://www.ncbi.nlm.nih.gov/pubmed/30897742 http://dx.doi.org/10.3390/molecules24061098 |
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