Predicting Bevirimat resistance of HIV-1 from genotype.

ABSTRACT:

Background

Maturation inhibitors are a new class of antiretroviral drugs. Bevirimat (BVM) was the first substance in this class of inhibitors entering clinical trials. While the inhibitory function of BVM is well established, the molecular mechanisms of action and resistance are not well understood. It is known that mutations in the regions CS p24/p2 and p2 can cause phenotypic resistance to BVM. We have investigated a set of p24/p2 sequences of HIV-1 of known phenotypic resistance to BVM to test whether BVM resistance can be predicted from sequence, and to identify possible molecular mechanisms of BVM resistance in HIV-1.

Results

We used artificial neural networks and random forests with different descriptors for the prediction of BVM resistance. Random forests with hydroph

SUBMITTER: Heider D 

PROVIDER: S-EPMC3224585 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature