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...

Full description

Saved in:
Bibliographic Details
Published inPloS one Vol. 9; no. 6; p. e98810
Main Authors 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
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 02.06.2014
Public Library of Science (PLoS)
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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].
Bibliography:Competing Interests: The authors have declared that no competing interests exist.
Conceived and designed the experiments: MRS CLS DPS SD DID. Performed the experiments: SD DPS. Analyzed the data: MRS CLS DPS. Wrote the paper: MRS CLS DPS. Built the HIVToolbox database: IA AB NRB SBB FAB FB MC RPD KMD HPG KSL KRM RM DQM SM NN AP JP TFR VRR NR SS SLT SY CLS MRS. Generated the user guide: RK DPS MRS MWH. Generated video tutorials: MRS. Advised on different aspects of HIV virology: DID.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0098810