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The HIV Mutation Browser: A Resource for Human Immunodeficiency Virus Mutagenesis and Polymorphism Data

Huge research effort has been invested over many years to determine the phenotypes of natural or artificial mutations in HIV proteins—interpretation of mutation phenotypes is an invaluable source of new knowledge. The results of this research effort are recorded in the scientific literature, but it...

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Autores principales: Davey, Norman E., Satagopam, Venkata P., Santiago-Mozos, Salvador, Villacorta-Martin, Carlos, Bharat, Tanmay A. M., Schneider, Reinhard, Briggs, John A. G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256008/
https://www.ncbi.nlm.nih.gov/pubmed/25474213
http://dx.doi.org/10.1371/journal.pcbi.1003951
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author Davey, Norman E.
Satagopam, Venkata P.
Santiago-Mozos, Salvador
Villacorta-Martin, Carlos
Bharat, Tanmay A. M.
Schneider, Reinhard
Briggs, John A. G.
author_facet Davey, Norman E.
Satagopam, Venkata P.
Santiago-Mozos, Salvador
Villacorta-Martin, Carlos
Bharat, Tanmay A. M.
Schneider, Reinhard
Briggs, John A. G.
author_sort Davey, Norman E.
collection PubMed
description Huge research effort has been invested over many years to determine the phenotypes of natural or artificial mutations in HIV proteins—interpretation of mutation phenotypes is an invaluable source of new knowledge. The results of this research effort are recorded in the scientific literature, but it is difficult for virologists to rapidly find it. Manually locating data on phenotypic variation within the approximately 270,000 available HIV-related research articles, or the further 1,500 articles that are published each month is a daunting task. Accordingly, the HIV research community would benefit from a resource cataloguing the available HIV mutation literature. We have applied computational text-mining techniques to parse and map mutagenesis and polymorphism information from the HIV literature, have enriched the data with ancillary information and have developed a public, web-based interface through which it can be intuitively explored: the HIV mutation browser. The current release of the HIV mutation browser describes the phenotypes of 7,608 unique mutations at 2,520 sites in the HIV proteome, resulting from the analysis of 120,899 papers. The mutation information for each protein is organised in a residue-centric manner and each residue is linked to the relevant experimental literature. The importance of HIV as a global health burden advocates extensive effort to maximise the efficiency of HIV research. The HIV mutation browser provides a valuable new resource for the research community. The HIV mutation browser is available at: http://hivmut.org.
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spelling pubmed-42560082014-12-11 The HIV Mutation Browser: A Resource for Human Immunodeficiency Virus Mutagenesis and Polymorphism Data Davey, Norman E. Satagopam, Venkata P. Santiago-Mozos, Salvador Villacorta-Martin, Carlos Bharat, Tanmay A. M. Schneider, Reinhard Briggs, John A. G. PLoS Comput Biol Research Article Huge research effort has been invested over many years to determine the phenotypes of natural or artificial mutations in HIV proteins—interpretation of mutation phenotypes is an invaluable source of new knowledge. The results of this research effort are recorded in the scientific literature, but it is difficult for virologists to rapidly find it. Manually locating data on phenotypic variation within the approximately 270,000 available HIV-related research articles, or the further 1,500 articles that are published each month is a daunting task. Accordingly, the HIV research community would benefit from a resource cataloguing the available HIV mutation literature. We have applied computational text-mining techniques to parse and map mutagenesis and polymorphism information from the HIV literature, have enriched the data with ancillary information and have developed a public, web-based interface through which it can be intuitively explored: the HIV mutation browser. The current release of the HIV mutation browser describes the phenotypes of 7,608 unique mutations at 2,520 sites in the HIV proteome, resulting from the analysis of 120,899 papers. The mutation information for each protein is organised in a residue-centric manner and each residue is linked to the relevant experimental literature. The importance of HIV as a global health burden advocates extensive effort to maximise the efficiency of HIV research. The HIV mutation browser provides a valuable new resource for the research community. The HIV mutation browser is available at: http://hivmut.org. Public Library of Science 2014-12-04 /pmc/articles/PMC4256008/ /pubmed/25474213 http://dx.doi.org/10.1371/journal.pcbi.1003951 Text en © 2014 Davey 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
Davey, Norman E.
Satagopam, Venkata P.
Santiago-Mozos, Salvador
Villacorta-Martin, Carlos
Bharat, Tanmay A. M.
Schneider, Reinhard
Briggs, John A. G.
The HIV Mutation Browser: A Resource for Human Immunodeficiency Virus Mutagenesis and Polymorphism Data
title The HIV Mutation Browser: A Resource for Human Immunodeficiency Virus Mutagenesis and Polymorphism Data
title_full The HIV Mutation Browser: A Resource for Human Immunodeficiency Virus Mutagenesis and Polymorphism Data
title_fullStr The HIV Mutation Browser: A Resource for Human Immunodeficiency Virus Mutagenesis and Polymorphism Data
title_full_unstemmed The HIV Mutation Browser: A Resource for Human Immunodeficiency Virus Mutagenesis and Polymorphism Data
title_short The HIV Mutation Browser: A Resource for Human Immunodeficiency Virus Mutagenesis and Polymorphism Data
title_sort hiv mutation browser: a resource for human immunodeficiency virus mutagenesis and polymorphism data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4256008/
https://www.ncbi.nlm.nih.gov/pubmed/25474213
http://dx.doi.org/10.1371/journal.pcbi.1003951
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