Cargando…

A new ensemble coevolution system for detecting HIV-1 protein coevolution

BACKGROUND: A key challenge in the field of HIV-1 protein evolution is the identification of coevolving amino acids at the molecular level. In the past decades, many sequence-based methods have been designed to detect position-specific coevolution within and between different proteins. However, an e...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Guangdi, Theys, Kristof, Verheyen, Jens, Pineda-Peña, Andrea-Clemencia, Khouri, Ricardo, Piampongsant, Supinya, Eusébio, Mónica, Ramon, Jan, Vandamme, Anne-Mieke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4332441/
https://www.ncbi.nlm.nih.gov/pubmed/25564011
http://dx.doi.org/10.1186/s13062-014-0031-8
_version_ 1782357911740088320
author Li, Guangdi
Theys, Kristof
Verheyen, Jens
Pineda-Peña, Andrea-Clemencia
Khouri, Ricardo
Piampongsant, Supinya
Eusébio, Mónica
Ramon, Jan
Vandamme, Anne-Mieke
author_facet Li, Guangdi
Theys, Kristof
Verheyen, Jens
Pineda-Peña, Andrea-Clemencia
Khouri, Ricardo
Piampongsant, Supinya
Eusébio, Mónica
Ramon, Jan
Vandamme, Anne-Mieke
author_sort Li, Guangdi
collection PubMed
description BACKGROUND: A key challenge in the field of HIV-1 protein evolution is the identification of coevolving amino acids at the molecular level. In the past decades, many sequence-based methods have been designed to detect position-specific coevolution within and between different proteins. However, an ensemble coevolution system that integrates different methods to improve the detection of HIV-1 protein coevolution has not been developed. RESULTS: We integrated 27 sequence-based prediction methods published between 2004 and 2013 into an ensemble coevolution system. This system allowed combinations of different sequence-based methods for coevolution predictions. Using HIV-1 protein structures and experimental data, we evaluated the performance of individual and combined sequence-based methods in the prediction of HIV-1 intra- and inter-protein coevolution. We showed that sequence-based methods clustered according to their methodology, and a combination of four methods outperformed any of the 27 individual methods. This four-method combination estimated that HIV-1 intra-protein coevolving positions were mainly located in functional domains and physically contacted with each other in the protein tertiary structures. In the analysis of HIV-1 inter-protein coevolving positions between Gag and protease, protease drug resistance positions near the active site mostly coevolved with Gag cleavage positions (V128, S373-T375, A431, F448-P453) and Gag C-terminal positions (S489-Q500) under selective pressure of protease inhibitors. CONCLUSIONS: This study presents a new ensemble coevolution system which detects position-specific coevolution using combinations of 27 different sequence-based methods. Our findings highlight key coevolving residues within HIV-1 structural proteins and between Gag and protease, shedding light on HIV-1 intra- and inter-protein coevolution. REVIEWERS: This article was reviewed by Dr. Zoltán Gáspári. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13062-014-0031-8) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4332441
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-43324412015-02-19 A new ensemble coevolution system for detecting HIV-1 protein coevolution Li, Guangdi Theys, Kristof Verheyen, Jens Pineda-Peña, Andrea-Clemencia Khouri, Ricardo Piampongsant, Supinya Eusébio, Mónica Ramon, Jan Vandamme, Anne-Mieke Biol Direct Research BACKGROUND: A key challenge in the field of HIV-1 protein evolution is the identification of coevolving amino acids at the molecular level. In the past decades, many sequence-based methods have been designed to detect position-specific coevolution within and between different proteins. However, an ensemble coevolution system that integrates different methods to improve the detection of HIV-1 protein coevolution has not been developed. RESULTS: We integrated 27 sequence-based prediction methods published between 2004 and 2013 into an ensemble coevolution system. This system allowed combinations of different sequence-based methods for coevolution predictions. Using HIV-1 protein structures and experimental data, we evaluated the performance of individual and combined sequence-based methods in the prediction of HIV-1 intra- and inter-protein coevolution. We showed that sequence-based methods clustered according to their methodology, and a combination of four methods outperformed any of the 27 individual methods. This four-method combination estimated that HIV-1 intra-protein coevolving positions were mainly located in functional domains and physically contacted with each other in the protein tertiary structures. In the analysis of HIV-1 inter-protein coevolving positions between Gag and protease, protease drug resistance positions near the active site mostly coevolved with Gag cleavage positions (V128, S373-T375, A431, F448-P453) and Gag C-terminal positions (S489-Q500) under selective pressure of protease inhibitors. CONCLUSIONS: This study presents a new ensemble coevolution system which detects position-specific coevolution using combinations of 27 different sequence-based methods. Our findings highlight key coevolving residues within HIV-1 structural proteins and between Gag and protease, shedding light on HIV-1 intra- and inter-protein coevolution. REVIEWERS: This article was reviewed by Dr. Zoltán Gáspári. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13062-014-0031-8) contains supplementary material, which is available to authorized users. BioMed Central 2015-01-07 /pmc/articles/PMC4332441/ /pubmed/25564011 http://dx.doi.org/10.1186/s13062-014-0031-8 Text en © Li et al.; licensee BioMed Central. 2015 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 use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Li, Guangdi
Theys, Kristof
Verheyen, Jens
Pineda-Peña, Andrea-Clemencia
Khouri, Ricardo
Piampongsant, Supinya
Eusébio, Mónica
Ramon, Jan
Vandamme, Anne-Mieke
A new ensemble coevolution system for detecting HIV-1 protein coevolution
title A new ensemble coevolution system for detecting HIV-1 protein coevolution
title_full A new ensemble coevolution system for detecting HIV-1 protein coevolution
title_fullStr A new ensemble coevolution system for detecting HIV-1 protein coevolution
title_full_unstemmed A new ensemble coevolution system for detecting HIV-1 protein coevolution
title_short A new ensemble coevolution system for detecting HIV-1 protein coevolution
title_sort new ensemble coevolution system for detecting hiv-1 protein coevolution
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4332441/
https://www.ncbi.nlm.nih.gov/pubmed/25564011
http://dx.doi.org/10.1186/s13062-014-0031-8
work_keys_str_mv AT liguangdi anewensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT theyskristof anewensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT verheyenjens anewensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT pinedapenaandreaclemencia anewensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT khouriricardo anewensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT piampongsantsupinya anewensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT eusebiomonica anewensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT ramonjan anewensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT vandammeannemieke anewensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT liguangdi newensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT theyskristof newensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT verheyenjens newensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT pinedapenaandreaclemencia newensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT khouriricardo newensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT piampongsantsupinya newensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT eusebiomonica newensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT ramonjan newensemblecoevolutionsystemfordetectinghiv1proteincoevolution
AT vandammeannemieke newensemblecoevolutionsystemfordetectinghiv1proteincoevolution