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DockTope: a Web-based tool for automated pMHC-I modelling
The immune system is constantly challenged, being required to protect the organism against a wide variety of infectious pathogens and, at the same time, to avoid autoimmune disorders. One of the most important molecules involved in these events is the Major Histocompatibility Complex class I (MHC-I)...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682062/ https://www.ncbi.nlm.nih.gov/pubmed/26674250 http://dx.doi.org/10.1038/srep18413 |
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author | Menegatti Rigo, Maurício Amaral Antunes, Dinler Vaz de Freitas, Martiela Fabiano de Almeida Mendes, Marcus Meira, Lindolfo Sinigaglia, Marialva Fioravanti Vieira, Gustavo |
author_facet | Menegatti Rigo, Maurício Amaral Antunes, Dinler Vaz de Freitas, Martiela Fabiano de Almeida Mendes, Marcus Meira, Lindolfo Sinigaglia, Marialva Fioravanti Vieira, Gustavo |
author_sort | Menegatti Rigo, Maurício |
collection | PubMed |
description | The immune system is constantly challenged, being required to protect the organism against a wide variety of infectious pathogens and, at the same time, to avoid autoimmune disorders. One of the most important molecules involved in these events is the Major Histocompatibility Complex class I (MHC-I), responsible for binding and presenting small peptides from the intracellular environment to CD8(+) T cells. The study of peptide:MHC-I (pMHC-I) molecules at a structural level is crucial to understand the molecular mechanisms underlying immunologic responses. Unfortunately, there are few pMHC-I structures in the Protein Data Bank (PDB) (especially considering the total number of complexes that could be formed combining different peptides), and pMHC-I modelling tools are scarce. Here, we present DockTope, a free and reliable web-based tool for pMHC-I modelling, based on crystal structures from the PDB. DockTope is fully automated and allows any researcher to construct a pMHC-I complex in an efficient way. We have reproduced a dataset of 135 non-redundant pMHC-I structures from the PDB (Cα RMSD below 1 Å). Modelling of pMHC-I complexes is remarkably important, contributing to the knowledge of important events such as cross-reactivity, autoimmunity, cancer therapy, transplantation and rational vaccine design. |
format | Online Article Text |
id | pubmed-4682062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46820622015-12-18 DockTope: a Web-based tool for automated pMHC-I modelling Menegatti Rigo, Maurício Amaral Antunes, Dinler Vaz de Freitas, Martiela Fabiano de Almeida Mendes, Marcus Meira, Lindolfo Sinigaglia, Marialva Fioravanti Vieira, Gustavo Sci Rep Article The immune system is constantly challenged, being required to protect the organism against a wide variety of infectious pathogens and, at the same time, to avoid autoimmune disorders. One of the most important molecules involved in these events is the Major Histocompatibility Complex class I (MHC-I), responsible for binding and presenting small peptides from the intracellular environment to CD8(+) T cells. The study of peptide:MHC-I (pMHC-I) molecules at a structural level is crucial to understand the molecular mechanisms underlying immunologic responses. Unfortunately, there are few pMHC-I structures in the Protein Data Bank (PDB) (especially considering the total number of complexes that could be formed combining different peptides), and pMHC-I modelling tools are scarce. Here, we present DockTope, a free and reliable web-based tool for pMHC-I modelling, based on crystal structures from the PDB. DockTope is fully automated and allows any researcher to construct a pMHC-I complex in an efficient way. We have reproduced a dataset of 135 non-redundant pMHC-I structures from the PDB (Cα RMSD below 1 Å). Modelling of pMHC-I complexes is remarkably important, contributing to the knowledge of important events such as cross-reactivity, autoimmunity, cancer therapy, transplantation and rational vaccine design. Nature Publishing Group 2015-12-17 /pmc/articles/PMC4682062/ /pubmed/26674250 http://dx.doi.org/10.1038/srep18413 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Menegatti Rigo, Maurício Amaral Antunes, Dinler Vaz de Freitas, Martiela Fabiano de Almeida Mendes, Marcus Meira, Lindolfo Sinigaglia, Marialva Fioravanti Vieira, Gustavo DockTope: a Web-based tool for automated pMHC-I modelling |
title | DockTope: a Web-based tool for automated pMHC-I modelling |
title_full | DockTope: a Web-based tool for automated pMHC-I modelling |
title_fullStr | DockTope: a Web-based tool for automated pMHC-I modelling |
title_full_unstemmed | DockTope: a Web-based tool for automated pMHC-I modelling |
title_short | DockTope: a Web-based tool for automated pMHC-I modelling |
title_sort | docktope: a web-based tool for automated pmhc-i modelling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4682062/ https://www.ncbi.nlm.nih.gov/pubmed/26674250 http://dx.doi.org/10.1038/srep18413 |
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