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BioAfrica's HIV-1 Proteomics Resource: Combining protein data with bioinformatics tools

Most Internet online resources for investigating HIV biology contain either bioinformatics tools, protein information or sequence data. The objective of this study was to develop a comprehensive online proteomics resource that integrates bioinformatics with the latest information on HIV-1 protein st...

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Autores principales: Doherty, Ryan S, De Oliveira, Tulio, Seebregts, Chris, Danaviah, Sivapragashini, Gordon, Michelle, Cassol, Sharon
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC555852/
https://www.ncbi.nlm.nih.gov/pubmed/15757512
http://dx.doi.org/10.1186/1742-4690-2-18
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author Doherty, Ryan S
De Oliveira, Tulio
Seebregts, Chris
Danaviah, Sivapragashini
Gordon, Michelle
Cassol, Sharon
author_facet Doherty, Ryan S
De Oliveira, Tulio
Seebregts, Chris
Danaviah, Sivapragashini
Gordon, Michelle
Cassol, Sharon
author_sort Doherty, Ryan S
collection PubMed
description Most Internet online resources for investigating HIV biology contain either bioinformatics tools, protein information or sequence data. The objective of this study was to develop a comprehensive online proteomics resource that integrates bioinformatics with the latest information on HIV-1 protein structure, gene expression, post-transcriptional/post-translational modification, functional activity, and protein-macromolecule interactions. The BioAfrica HIV-1 Proteomics Resource is a website that contains detailed information about the HIV-1 proteome and protease cleavage sites, as well as data-mining tools that can be used to manipulate and query protein sequence data, a BLAST tool for initiating structural analyses of HIV-1 proteins, and a proteomics tools directory. The Proteome section contains extensive data on each of 19 HIV-1 proteins, including their functional properties, a sample analysis of HIV-1(HXB2), structural models and links to other online resources. The HIV-1 Protease Cleavage Sites section provides information on the position, subtype variation and genetic evolution of Gag, Gag-Pol and Nef cleavage sites. The HIV-1 Protein Data-mining Tool includes a set of 27 group M (subtypes A through K) reference sequences that can be used to assess the influence of genetic variation on immunological and functional domains of the protein. The BLAST Structure Tool identifies proteins with similar, experimentally determined topologies, and the Tools Directory provides a categorized list of websites and relevant software programs. This combined database and software repository is designed to facilitate the capture, retrieval and analysis of HIV-1 protein data, and to convert it into clinically useful information relating to the pathogenesis, transmission and therapeutic response of different HIV-1 variants. The HIV-1 Proteomics Resource is readily accessible through the BioAfrica website at:
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spelling pubmed-5558522005-04-02 BioAfrica's HIV-1 Proteomics Resource: Combining protein data with bioinformatics tools Doherty, Ryan S De Oliveira, Tulio Seebregts, Chris Danaviah, Sivapragashini Gordon, Michelle Cassol, Sharon Retrovirology Review Most Internet online resources for investigating HIV biology contain either bioinformatics tools, protein information or sequence data. The objective of this study was to develop a comprehensive online proteomics resource that integrates bioinformatics with the latest information on HIV-1 protein structure, gene expression, post-transcriptional/post-translational modification, functional activity, and protein-macromolecule interactions. The BioAfrica HIV-1 Proteomics Resource is a website that contains detailed information about the HIV-1 proteome and protease cleavage sites, as well as data-mining tools that can be used to manipulate and query protein sequence data, a BLAST tool for initiating structural analyses of HIV-1 proteins, and a proteomics tools directory. The Proteome section contains extensive data on each of 19 HIV-1 proteins, including their functional properties, a sample analysis of HIV-1(HXB2), structural models and links to other online resources. The HIV-1 Protease Cleavage Sites section provides information on the position, subtype variation and genetic evolution of Gag, Gag-Pol and Nef cleavage sites. The HIV-1 Protein Data-mining Tool includes a set of 27 group M (subtypes A through K) reference sequences that can be used to assess the influence of genetic variation on immunological and functional domains of the protein. The BLAST Structure Tool identifies proteins with similar, experimentally determined topologies, and the Tools Directory provides a categorized list of websites and relevant software programs. This combined database and software repository is designed to facilitate the capture, retrieval and analysis of HIV-1 protein data, and to convert it into clinically useful information relating to the pathogenesis, transmission and therapeutic response of different HIV-1 variants. The HIV-1 Proteomics Resource is readily accessible through the BioAfrica website at: BioMed Central 2005-03-09 /pmc/articles/PMC555852/ /pubmed/15757512 http://dx.doi.org/10.1186/1742-4690-2-18 Text en Copyright © 2005 Doherty et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Doherty, Ryan S
De Oliveira, Tulio
Seebregts, Chris
Danaviah, Sivapragashini
Gordon, Michelle
Cassol, Sharon
BioAfrica's HIV-1 Proteomics Resource: Combining protein data with bioinformatics tools
title BioAfrica's HIV-1 Proteomics Resource: Combining protein data with bioinformatics tools
title_full BioAfrica's HIV-1 Proteomics Resource: Combining protein data with bioinformatics tools
title_fullStr BioAfrica's HIV-1 Proteomics Resource: Combining protein data with bioinformatics tools
title_full_unstemmed BioAfrica's HIV-1 Proteomics Resource: Combining protein data with bioinformatics tools
title_short BioAfrica's HIV-1 Proteomics Resource: Combining protein data with bioinformatics tools
title_sort bioafrica's hiv-1 proteomics resource: combining protein data with bioinformatics tools
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC555852/
https://www.ncbi.nlm.nih.gov/pubmed/15757512
http://dx.doi.org/10.1186/1742-4690-2-18
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