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VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks
Infectious diseases caused by viral agents kill millions of people every year. The improvement of prevention and treatment of viral infections and their associated diseases remains one of the main public health challenges. Towards this goal, deciphering virus–host molecular interactions opens new pe...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686459/ https://www.ncbi.nlm.nih.gov/pubmed/18984613 http://dx.doi.org/10.1093/nar/gkn794 |
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author | Navratil, Vincent de Chassey, Benoît Meyniel, Laurène Delmotte, Stéphane Gautier, Christian André, Patrice Lotteau, Vincent Rabourdin-Combe, Chantal |
author_facet | Navratil, Vincent de Chassey, Benoît Meyniel, Laurène Delmotte, Stéphane Gautier, Christian André, Patrice Lotteau, Vincent Rabourdin-Combe, Chantal |
author_sort | Navratil, Vincent |
collection | PubMed |
description | Infectious diseases caused by viral agents kill millions of people every year. The improvement of prevention and treatment of viral infections and their associated diseases remains one of the main public health challenges. Towards this goal, deciphering virus–host molecular interactions opens new perspectives to understand the biology of infection and for the design of new antiviral strategies. Indeed, modelling of an infection network between viral and cellular proteins will provide a conceptual and analytic framework to efficiently formulate new biological hypothesis at the proteome scale and to rationalize drug discovery. Therefore, we present the first release of VirHostNet (Virus–Host Network), a public knowledge base specialized in the management and analysis of integrated virus–virus, virus–host and host–host interaction networks coupled to their functional annotations. VirHostNet integrates an extensive and original literature-curated dataset of virus–virus and virus–host interactions (2671 non-redundant interactions) representing more than 180 distinct viral species and one of the largest human interactome (10 672 proteins and 68 252 non-redundant interactions) reconstructed from publicly available data. The VirHostNet Web interface provides appropriate tools that allow efficient query and visualization of this infected cellular network. Public access to the VirHostNet knowledge-based system is available at http://pbildb1.univ-lyon1.fr/virhostnet. |
format | Text |
id | pubmed-2686459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26864592009-05-26 VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks Navratil, Vincent de Chassey, Benoît Meyniel, Laurène Delmotte, Stéphane Gautier, Christian André, Patrice Lotteau, Vincent Rabourdin-Combe, Chantal Nucleic Acids Res Articles Infectious diseases caused by viral agents kill millions of people every year. The improvement of prevention and treatment of viral infections and their associated diseases remains one of the main public health challenges. Towards this goal, deciphering virus–host molecular interactions opens new perspectives to understand the biology of infection and for the design of new antiviral strategies. Indeed, modelling of an infection network between viral and cellular proteins will provide a conceptual and analytic framework to efficiently formulate new biological hypothesis at the proteome scale and to rationalize drug discovery. Therefore, we present the first release of VirHostNet (Virus–Host Network), a public knowledge base specialized in the management and analysis of integrated virus–virus, virus–host and host–host interaction networks coupled to their functional annotations. VirHostNet integrates an extensive and original literature-curated dataset of virus–virus and virus–host interactions (2671 non-redundant interactions) representing more than 180 distinct viral species and one of the largest human interactome (10 672 proteins and 68 252 non-redundant interactions) reconstructed from publicly available data. The VirHostNet Web interface provides appropriate tools that allow efficient query and visualization of this infected cellular network. Public access to the VirHostNet knowledge-based system is available at http://pbildb1.univ-lyon1.fr/virhostnet. Oxford University Press 2009-01 2008-11-04 /pmc/articles/PMC2686459/ /pubmed/18984613 http://dx.doi.org/10.1093/nar/gkn794 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Navratil, Vincent de Chassey, Benoît Meyniel, Laurène Delmotte, Stéphane Gautier, Christian André, Patrice Lotteau, Vincent Rabourdin-Combe, Chantal VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks |
title | VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks |
title_full | VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks |
title_fullStr | VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks |
title_full_unstemmed | VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks |
title_short | VirHostNet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks |
title_sort | virhostnet: a knowledge base for the management and the analysis of proteome-wide virus–host interaction networks |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2686459/ https://www.ncbi.nlm.nih.gov/pubmed/18984613 http://dx.doi.org/10.1093/nar/gkn794 |
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