HIVToolbox, an integrated web application for investigating HIV.
Many bioinformatic databases and applications focus on a limited domain of knowledge federating links to information in other databases. This segregated data structure likely limits our ability to investigate and understand complex biological systems. To facilitate research, therefore, we have built...
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doaj-d0995748f76b414f9cce7fed833898f42020-11-25T01:42:15ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0165e2012210.1371/journal.pone.0020122HIVToolbox, an integrated web application for investigating HIV.David SargeantSandeep DeverasettyYang LuoAngel Villahoz BaletaStephanie ZobristViraj RathnayakeJacqueline C RussoJay VyasMark A MuesingMartin R SchillerMany bioinformatic databases and applications focus on a limited domain of knowledge federating links to information in other databases. This segregated data structure likely limits our ability to investigate and understand complex biological systems. To facilitate research, therefore, we have built HIVToolbox, which integrates much of the knowledge about HIV proteins and allows virologists and structural biologists to access sequence, structure, and functional relationships in an intuitive web application. HIV-1 integrase protein was used as a case study to show the utility of this application. We show how data integration facilitates identification of new questions and hypotheses much more rapid and convenient than current approaches using isolated repositories. Several new hypotheses for integrase were created as an example, and we experimentally confirmed a predicted CK2 phosphorylation site. Weblink: [http://hivtoolbox.bio-toolkit.com].http://europepmc.org/articles/PMC3102074?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David Sargeant Sandeep Deverasetty Yang Luo Angel Villahoz Baleta Stephanie Zobrist Viraj Rathnayake Jacqueline C Russo Jay Vyas Mark A Muesing Martin R Schiller |
spellingShingle |
David Sargeant Sandeep Deverasetty Yang Luo Angel Villahoz Baleta Stephanie Zobrist Viraj Rathnayake Jacqueline C Russo Jay Vyas Mark A Muesing Martin R Schiller HIVToolbox, an integrated web application for investigating HIV. PLoS ONE |
author_facet |
David Sargeant Sandeep Deverasetty Yang Luo Angel Villahoz Baleta Stephanie Zobrist Viraj Rathnayake Jacqueline C Russo Jay Vyas Mark A Muesing Martin R Schiller |
author_sort |
David Sargeant |
title |
HIVToolbox, an integrated web application for investigating HIV. |
title_short |
HIVToolbox, an integrated web application for investigating HIV. |
title_full |
HIVToolbox, an integrated web application for investigating HIV. |
title_fullStr |
HIVToolbox, an integrated web application for investigating HIV. |
title_full_unstemmed |
HIVToolbox, an integrated web application for investigating HIV. |
title_sort |
hivtoolbox, an integrated web application for investigating hiv. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2011-01-01 |
description |
Many bioinformatic databases and applications focus on a limited domain of knowledge federating links to information in other databases. This segregated data structure likely limits our ability to investigate and understand complex biological systems. To facilitate research, therefore, we have built HIVToolbox, which integrates much of the knowledge about HIV proteins and allows virologists and structural biologists to access sequence, structure, and functional relationships in an intuitive web application. HIV-1 integrase protein was used as a case study to show the utility of this application. We show how data integration facilitates identification of new questions and hypotheses much more rapid and convenient than current approaches using isolated repositories. Several new hypotheses for integrase were created as an example, and we experimentally confirmed a predicted CK2 phosphorylation site. Weblink: [http://hivtoolbox.bio-toolkit.com]. |
url |
http://europepmc.org/articles/PMC3102074?pdf=render |
work_keys_str_mv |
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