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Galaxy7TM: flexible GPCR–ligand docking by structure refinement

G-protein-coupled receptors (GPCRs) play important physiological roles related to signal transduction and form a major group of drug targets. Prediction of GPCR–ligand complex structures has therefore important implications to drug discovery. With previously available servers, it was only possible t...

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Detalles Bibliográficos
Autores principales: Lee, Gyu Rie, Seok, Chaok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987912/
https://www.ncbi.nlm.nih.gov/pubmed/27131365
http://dx.doi.org/10.1093/nar/gkw360
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author Lee, Gyu Rie
Seok, Chaok
author_facet Lee, Gyu Rie
Seok, Chaok
author_sort Lee, Gyu Rie
collection PubMed
description G-protein-coupled receptors (GPCRs) play important physiological roles related to signal transduction and form a major group of drug targets. Prediction of GPCR–ligand complex structures has therefore important implications to drug discovery. With previously available servers, it was only possible to first predict GPCR structures by homology modeling and then perform ligand docking on the model structures. However, model structures generated without explicit consideration of specific ligands of interest can be inaccurate because GPCR structures can be affected by ligand binding. The Galaxy7TM server, freely accessible at http://galaxy.seoklab.org/7TM, improves an input GPCR structure by simultaneous ligand docking and flexible structure refinement using GALAXY methods. The server shows better performance in both ligand docking and GPCR structure refinement than commonly used programs AutoDock Vina and Rosetta MPrelax, respectively.
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spelling pubmed-49879122016-08-22 Galaxy7TM: flexible GPCR–ligand docking by structure refinement Lee, Gyu Rie Seok, Chaok Nucleic Acids Res Web Server issue G-protein-coupled receptors (GPCRs) play important physiological roles related to signal transduction and form a major group of drug targets. Prediction of GPCR–ligand complex structures has therefore important implications to drug discovery. With previously available servers, it was only possible to first predict GPCR structures by homology modeling and then perform ligand docking on the model structures. However, model structures generated without explicit consideration of specific ligands of interest can be inaccurate because GPCR structures can be affected by ligand binding. The Galaxy7TM server, freely accessible at http://galaxy.seoklab.org/7TM, improves an input GPCR structure by simultaneous ligand docking and flexible structure refinement using GALAXY methods. The server shows better performance in both ligand docking and GPCR structure refinement than commonly used programs AutoDock Vina and Rosetta MPrelax, respectively. Oxford University Press 2016-07-08 2016-04-29 /pmc/articles/PMC4987912/ /pubmed/27131365 http://dx.doi.org/10.1093/nar/gkw360 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server issue
Lee, Gyu Rie
Seok, Chaok
Galaxy7TM: flexible GPCR–ligand docking by structure refinement
title Galaxy7TM: flexible GPCR–ligand docking by structure refinement
title_full Galaxy7TM: flexible GPCR–ligand docking by structure refinement
title_fullStr Galaxy7TM: flexible GPCR–ligand docking by structure refinement
title_full_unstemmed Galaxy7TM: flexible GPCR–ligand docking by structure refinement
title_short Galaxy7TM: flexible GPCR–ligand docking by structure refinement
title_sort galaxy7tm: flexible gpcr–ligand docking by structure refinement
topic Web Server issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4987912/
https://www.ncbi.nlm.nih.gov/pubmed/27131365
http://dx.doi.org/10.1093/nar/gkw360
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