Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics:

Amamuddy, Olivier S; Bishop, Nigel T; Tastan Bishop, Özlem

Title: Characterizing early drug resistance-related events using geometric ensembles from HIV protease dynamics:
Creator: Amamuddy, Olivier S
Creator: Bishop, Nigel T
Creator: Tastan Bishop, Özlem
Date Issued: 2018
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
Format: pdf
Language: English
Relation: Scientific reports
Relation: 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.
Relation: 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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Bishop, Nigel T (Prof Emeritus)

RU Department of Mathematics (Pure and Applied)

Tastan Bishop, Ozlem (Prof)

RU Research Unit in Bioinformatics (RUBi)

RU Department of Biochemistry, Microbiology and Bioinformatics

SDG 03. Good Health and Well-Being

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