Publication | Closed Access
Correlation between a phenotypic assay and three bioinformatic tools for determining HIV co-receptor use
44
Citations
13
References
2007
Year
ImmunologyPredictive ValueAntiviral DrugTranslational MedicineHuman RetrovirusBioanalysisResistance Mutation (Virology)BiostatisticsPlasma SpecimensHiv-1 Co-receptor UsageNeurovirologyVirologyPhenotypic AssayHiv Co-receptor UseHivChronic Viral InfectionPharmacologyBioinformatic ToolsAntiviral ResponseAntiviral TherapyMedicineDrug Discovery
The predictive value of three genotypic methods to determine HIV-1 co-receptor usage was assessed in 83 plasma specimens taking as reference the results obtained using a recombinant phenotypic assay (Phenoscript). The best concordance was found for webPSSM, followed by geno2pheno and wetcat (85.9, 71.8 and 70.5%, respectively). Less than 5.1% of phenotypic X4 viruses were missed by genotypic tools. The genotypic prediction of HIV-1 co-receptor usage can thus assist therapeutic decisions for using CCR5 antagonists.
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