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The HIVToolbox 2 Web System Integrates Sequence, Structure, Function and Mutation Analysis

There is enormous interest in studying HIV pathogenesis for improving the treatment of patients with HIV infection. HIV infection has become one of the best-studied systems for understanding how a virus can hijack a cell. To help facilitate discovery, we previously built HIVToolbox, a web system for...

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Autores principales: Sargeant, David P., Deverasetty, Sandeep, Strong, Christy L., Alaniz, Izua J., Bartlett, Alexandria, Brandon, Nicholas R., Brooks, Steven B., Brown, Frederick A., Bufi, Flaviona, Chakarova, Monika, David, Roxanne P., Dobritch, Karlyn M., Guerra, Horacio P., Hedden, Michael W., Kumra, Rma, Levitt, Kelvy S., Mathew, Kiran R., Matti, Ray, Maza, Dorothea Q., Mistry, Sabyasachy, Novakovic, Nemanja, Pomerantz, Austin, Portillo, Josue, Rafalski, Timothy F., Rathnayake, Viraj R., Rezapour, Noura, Songao, Sarah, Tuggle, Sean L., Yousif, Sandy, Dorsky, David I., Schiller, Martin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041786/
https://www.ncbi.nlm.nih.gov/pubmed/24886930
http://dx.doi.org/10.1371/journal.pone.0098810
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author Sargeant, David P.
Deverasetty, Sandeep
Strong, Christy L.
Alaniz, Izua J.
Bartlett, Alexandria
Brandon, Nicholas R.
Brooks, Steven B.
Brown, Frederick A.
Bufi, Flaviona
Chakarova, Monika
David, Roxanne P.
Dobritch, Karlyn M.
Guerra, Horacio P.
Hedden, Michael W.
Kumra, Rma
Levitt, Kelvy S.
Mathew, Kiran R.
Matti, Ray
Maza, Dorothea Q.
Mistry, Sabyasachy
Novakovic, Nemanja
Pomerantz, Austin
Portillo, Josue
Rafalski, Timothy F.
Rathnayake, Viraj R.
Rezapour, Noura
Songao, Sarah
Tuggle, Sean L.
Yousif, Sandy
Dorsky, David I.
Schiller, Martin R.
author_facet Sargeant, David P.
Deverasetty, Sandeep
Strong, Christy L.
Alaniz, Izua J.
Bartlett, Alexandria
Brandon, Nicholas R.
Brooks, Steven B.
Brown, Frederick A.
Bufi, Flaviona
Chakarova, Monika
David, Roxanne P.
Dobritch, Karlyn M.
Guerra, Horacio P.
Hedden, Michael W.
Kumra, Rma
Levitt, Kelvy S.
Mathew, Kiran R.
Matti, Ray
Maza, Dorothea Q.
Mistry, Sabyasachy
Novakovic, Nemanja
Pomerantz, Austin
Portillo, Josue
Rafalski, Timothy F.
Rathnayake, Viraj R.
Rezapour, Noura
Songao, Sarah
Tuggle, Sean L.
Yousif, Sandy
Dorsky, David I.
Schiller, Martin R.
author_sort Sargeant, David P.
collection PubMed
description There is enormous interest in studying HIV pathogenesis for improving the treatment of patients with HIV infection. HIV infection has become one of the best-studied systems for understanding how a virus can hijack a cell. To help facilitate discovery, we previously built HIVToolbox, a web system for visual data mining. The original HIVToolbox integrated information for HIV protein sequence, structure, functional sites, and sequence conservation. This web system has been used for almost 40,000 searches. We report improvements to HIVToolbox including new functions and workflows, data updates, and updates for ease of use. HIVToolbox2, is an improvement over HIVToolbox with new functions. HIVToolbox2 has new functionalities focused on HIV pathogenesis including drug-binding sites, drug-resistance mutations, and immune epitopes. The integrated, interactive view enables visual mining to generate hypotheses that are not readily revealed by other approaches. Most HIV proteins form multimers, and there are posttranslational modification and protein-protein interaction sites at many of these multimerization interfaces. Analysis of protease drug binding sites reveals an anatomy of drug resistance with different types of drug-resistance mutations regionally localized on the surface of protease. Some of these drug-resistance mutations have a high prevalence in specific HIV-1 M subtypes. Finally, consolidation of Tat functional sites reveals a hotspot region where there appear to be 30 interactions or posttranslational modifications. A cursory analysis with HIVToolbox2 has helped to identify several global patterns for HIV proteins. An initial analysis with this tool identifies homomultimerization of almost all HIV proteins, functional sites that overlap with multimerization sites, a global drug resistance anatomy for HIV protease, and specific distributions of some DRMs in specific HIV M subtypes. HIVToolbox2 is an open-access web application available at [http://hivtoolbox2.bio-toolkit.com].
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spelling pubmed-40417862014-06-09 The HIVToolbox 2 Web System Integrates Sequence, Structure, Function and Mutation Analysis Sargeant, David P. Deverasetty, Sandeep Strong, Christy L. Alaniz, Izua J. Bartlett, Alexandria Brandon, Nicholas R. Brooks, Steven B. Brown, Frederick A. Bufi, Flaviona Chakarova, Monika David, Roxanne P. Dobritch, Karlyn M. Guerra, Horacio P. Hedden, Michael W. Kumra, Rma Levitt, Kelvy S. Mathew, Kiran R. Matti, Ray Maza, Dorothea Q. Mistry, Sabyasachy Novakovic, Nemanja Pomerantz, Austin Portillo, Josue Rafalski, Timothy F. Rathnayake, Viraj R. Rezapour, Noura Songao, Sarah Tuggle, Sean L. Yousif, Sandy Dorsky, David I. Schiller, Martin R. PLoS One Research Article There is enormous interest in studying HIV pathogenesis for improving the treatment of patients with HIV infection. HIV infection has become one of the best-studied systems for understanding how a virus can hijack a cell. To help facilitate discovery, we previously built HIVToolbox, a web system for visual data mining. The original HIVToolbox integrated information for HIV protein sequence, structure, functional sites, and sequence conservation. This web system has been used for almost 40,000 searches. We report improvements to HIVToolbox including new functions and workflows, data updates, and updates for ease of use. HIVToolbox2, is an improvement over HIVToolbox with new functions. HIVToolbox2 has new functionalities focused on HIV pathogenesis including drug-binding sites, drug-resistance mutations, and immune epitopes. The integrated, interactive view enables visual mining to generate hypotheses that are not readily revealed by other approaches. Most HIV proteins form multimers, and there are posttranslational modification and protein-protein interaction sites at many of these multimerization interfaces. Analysis of protease drug binding sites reveals an anatomy of drug resistance with different types of drug-resistance mutations regionally localized on the surface of protease. Some of these drug-resistance mutations have a high prevalence in specific HIV-1 M subtypes. Finally, consolidation of Tat functional sites reveals a hotspot region where there appear to be 30 interactions or posttranslational modifications. A cursory analysis with HIVToolbox2 has helped to identify several global patterns for HIV proteins. An initial analysis with this tool identifies homomultimerization of almost all HIV proteins, functional sites that overlap with multimerization sites, a global drug resistance anatomy for HIV protease, and specific distributions of some DRMs in specific HIV M subtypes. HIVToolbox2 is an open-access web application available at [http://hivtoolbox2.bio-toolkit.com]. Public Library of Science 2014-06-02 /pmc/articles/PMC4041786/ /pubmed/24886930 http://dx.doi.org/10.1371/journal.pone.0098810 Text en © 2014 Sargeant 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
Sargeant, David P.
Deverasetty, Sandeep
Strong, Christy L.
Alaniz, Izua J.
Bartlett, Alexandria
Brandon, Nicholas R.
Brooks, Steven B.
Brown, Frederick A.
Bufi, Flaviona
Chakarova, Monika
David, Roxanne P.
Dobritch, Karlyn M.
Guerra, Horacio P.
Hedden, Michael W.
Kumra, Rma
Levitt, Kelvy S.
Mathew, Kiran R.
Matti, Ray
Maza, Dorothea Q.
Mistry, Sabyasachy
Novakovic, Nemanja
Pomerantz, Austin
Portillo, Josue
Rafalski, Timothy F.
Rathnayake, Viraj R.
Rezapour, Noura
Songao, Sarah
Tuggle, Sean L.
Yousif, Sandy
Dorsky, David I.
Schiller, Martin R.
The HIVToolbox 2 Web System Integrates Sequence, Structure, Function and Mutation Analysis
title The HIVToolbox 2 Web System Integrates Sequence, Structure, Function and Mutation Analysis
title_full The HIVToolbox 2 Web System Integrates Sequence, Structure, Function and Mutation Analysis
title_fullStr The HIVToolbox 2 Web System Integrates Sequence, Structure, Function and Mutation Analysis
title_full_unstemmed The HIVToolbox 2 Web System Integrates Sequence, Structure, Function and Mutation Analysis
title_short The HIVToolbox 2 Web System Integrates Sequence, Structure, Function and Mutation Analysis
title_sort hivtoolbox 2 web system integrates sequence, structure, function and mutation analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041786/
https://www.ncbi.nlm.nih.gov/pubmed/24886930
http://dx.doi.org/10.1371/journal.pone.0098810
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