Estimating HIV-1 fitness characteristics from cross-sectional genotype data.

ABSTRACT: Despite the success of highly active antiretroviral therapy (HAART) in the management of human immunodeficiency virus (HIV)-1 infection, virological failure due to drug resistance development remains a major challenge. Resistant mutants display reduced drug susceptibilities, but in the absence of drug, they generally have a lower fitness than the wild type, owing to a mutation-incurred cost. The interaction between these fitness costs and drug resistance dictates the appearance of mutants and influences viral suppression and therapeutic success. Assessing in vivo viral fitness is a challenging task and yet one that has significant clinical relevance. Here, we present a new computational modelling approach for estimating viral fitness that relies on common sparse cross-sectional clinical da

SUBMITTER: Gopalakrishnan S 

PROVIDER: S-EPMC4222584 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature