- Title
- Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics:
- Creator
- Amamuddy, Olivier S, Bishop, Nigel T, Tastan Bishop, Özlem
- Date
- 2018
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/148126
- Identifier
- vital:38712
- Identifier
- DOI: 10.1038/s41598-018-36041-8
- Description
- The use of antiretrovirals (ARVs) has drastically improved the life quality and expectancy of HIV patients since their introduction in health care. Several millions are still afflicted worldwide by HIV and ARV resistance is a constant concern for both healthcare practitioners and patients, as while treatment options are finite, the virus constantly adapts via complex mutation patterns to select for resistant strains under the pressure of drug treatment. The HIV protease is a crucial enzyme for viral maturation and has been a game changing drug target since the first application. Due to similarities in protease inhibitor designs, drug cross-resistance is not uncommon across ARVs of the same class.
- Format
- 12 pages, pdf
- Language
- English
- Relation
- Scientific reports, Amamuddy, O.S., Bishop, N.T. and Bishop, Ö.T., 2018. Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics. Scientific reports, 8(1), pp.1-11., Scientific reports volume 8 number 1 1 11 November 2018 2045-2322
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the Nature Open Access statement (http://www.nature.com/openresearch/publishing-with-npg/)
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Collections
RU Department of Mathematics (Pure and Applied)
Bishop, Nigel Tempest (Prof Emeritus)
Tastan Bishop, Ozlem (Prof)
RU Research Unit in Bioinformatics (RUBi)
RU Department of Biochemistry, Microbiology and Bioinformatics
SDG 03. Good Health and Well-Being
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details | SOURCE1 | Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics.pdf | 3 MB | Adobe Acrobat PDF | View Details |