Sequence and structure based models of HIV-1 protease and reverse transcriptase drug resistance.

ABSTRACT:

Background

Successful management of chronic human immunodeficiency virus type 1 (HIV-1) infection with a cocktail of antiretroviral medications can be negatively affected by the presence of drug resistant mutations in the viral targets. These targets include the HIV-1 protease (PR) and reverse transcriptase (RT) proteins, for which a number of inhibitors are available on the market and routinely prescribed. Protein mutational patterns are associated with varying degrees of resistance to their respective inhibitors, with extremes that can range from continued susceptibility to cross-resistance across all drugs.

Results

Here we implement statistical learning algorithms to develop structure- and sequence-based models for systematically predicting the effects of mutations in the

SUBMITTER: Masso M 

PROVIDER: S-EPMC3849442 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature