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Towards Improved Quality of GPCR Models by Usage of Multiple Templates and Profile-Profile Comparison
G-protein coupled receptors (GPCRs) are targets of nearly one third of the drugs at the current pharmaceutical market. Despite their importance in many cellular processes the crystal structures are available for less than 20 unique GPCRs of the Rhodopsin-like class. Fortunately, even though involved...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585245/ https://www.ncbi.nlm.nih.gov/pubmed/23468878 http://dx.doi.org/10.1371/journal.pone.0056742 |
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author | Latek, Dorota Pasznik, Pawel Carlomagno, Teresa Filipek, Slawomir |
author_facet | Latek, Dorota Pasznik, Pawel Carlomagno, Teresa Filipek, Slawomir |
author_sort | Latek, Dorota |
collection | PubMed |
description | G-protein coupled receptors (GPCRs) are targets of nearly one third of the drugs at the current pharmaceutical market. Despite their importance in many cellular processes the crystal structures are available for less than 20 unique GPCRs of the Rhodopsin-like class. Fortunately, even though involved in different signaling cascades, this large group of membrane proteins has preserved a uniform structure comprising seven transmembrane helices that allows quite reliable comparative modeling. Nevertheless, low sequence similarity between the GPCR family members is still a serious obstacle not only in template selection but also in providing theoretical models of acceptable quality. An additional level of difficulty is the prediction of kinks and bulges in transmembrane helices. Usage of multiple templates and generation of alignments based on sequence profiles may increase the rate of success in difficult cases of comparative modeling in which the sequence similarity between GPCRs is exceptionally low. Here, we present GPCRM, a novel method for fast and accurate generation of GPCR models using averaging of multiple template structures and profile-profile comparison. In particular, GPCRM is the first GPCR structure predictor incorporating two distinct loop modeling techniques: Modeller and Rosetta together with the filtering of models based on the Z-coordinate. We tested our approach on all unique GPCR structures determined to date and report its performance in comparison with other computational methods targeting the Rhodopsin-like class. We also provide a database of precomputed GPCR models of the human receptors from that class. AVAILABILITY: GPCRM server and database: http://gpcrm.biomodellab.eu |
format | Online Article Text |
id | pubmed-3585245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35852452013-03-06 Towards Improved Quality of GPCR Models by Usage of Multiple Templates and Profile-Profile Comparison Latek, Dorota Pasznik, Pawel Carlomagno, Teresa Filipek, Slawomir PLoS One Research Article G-protein coupled receptors (GPCRs) are targets of nearly one third of the drugs at the current pharmaceutical market. Despite their importance in many cellular processes the crystal structures are available for less than 20 unique GPCRs of the Rhodopsin-like class. Fortunately, even though involved in different signaling cascades, this large group of membrane proteins has preserved a uniform structure comprising seven transmembrane helices that allows quite reliable comparative modeling. Nevertheless, low sequence similarity between the GPCR family members is still a serious obstacle not only in template selection but also in providing theoretical models of acceptable quality. An additional level of difficulty is the prediction of kinks and bulges in transmembrane helices. Usage of multiple templates and generation of alignments based on sequence profiles may increase the rate of success in difficult cases of comparative modeling in which the sequence similarity between GPCRs is exceptionally low. Here, we present GPCRM, a novel method for fast and accurate generation of GPCR models using averaging of multiple template structures and profile-profile comparison. In particular, GPCRM is the first GPCR structure predictor incorporating two distinct loop modeling techniques: Modeller and Rosetta together with the filtering of models based on the Z-coordinate. We tested our approach on all unique GPCR structures determined to date and report its performance in comparison with other computational methods targeting the Rhodopsin-like class. We also provide a database of precomputed GPCR models of the human receptors from that class. AVAILABILITY: GPCRM server and database: http://gpcrm.biomodellab.eu Public Library of Science 2013-02-28 /pmc/articles/PMC3585245/ /pubmed/23468878 http://dx.doi.org/10.1371/journal.pone.0056742 Text en © 2013 Latek et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Latek, Dorota Pasznik, Pawel Carlomagno, Teresa Filipek, Slawomir Towards Improved Quality of GPCR Models by Usage of Multiple Templates and Profile-Profile Comparison |
title | Towards Improved Quality of GPCR Models by Usage of Multiple Templates and Profile-Profile Comparison |
title_full | Towards Improved Quality of GPCR Models by Usage of Multiple Templates and Profile-Profile Comparison |
title_fullStr | Towards Improved Quality of GPCR Models by Usage of Multiple Templates and Profile-Profile Comparison |
title_full_unstemmed | Towards Improved Quality of GPCR Models by Usage of Multiple Templates and Profile-Profile Comparison |
title_short | Towards Improved Quality of GPCR Models by Usage of Multiple Templates and Profile-Profile Comparison |
title_sort | towards improved quality of gpcr models by usage of multiple templates and profile-profile comparison |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3585245/ https://www.ncbi.nlm.nih.gov/pubmed/23468878 http://dx.doi.org/10.1371/journal.pone.0056742 |
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