Improving HIV coreceptor usage prediction in the clinic using hints from next-generation sequencing data.

ABSTRACT:

Motivation

Due to the high mutation rate of human immunodeficiency virus (HIV), drug-resistant-variants emerge frequently. Therefore, researchers are constantly searching for new ways to attack the virus. One new class of anti-HIV drugs is the class of coreceptor antagonists that block cell entry by occupying a coreceptor on CD4 cells. This type of drug just has an effect on the subset of HIVs that use the inhibited coreceptor. A good prediction of whether the viral population inside a patient is susceptible to the treatment is hence very important for therapy decisions and pre-requisite to administering the respective drug. The first prediction models were based on data from Sanger sequencing of the V3 loop of HIV. Recently, a method based on next-generation sequencing (NGS) data

SUBMITTER: Pfeifer N 

PROVIDER: S-EPMC3436800 | biostudies-literature | 2012 Sep

REPOSITORIES: biostudies-literature