Correlation between a phenotypic assay and three bioinformatic tools for determining HIV co-receptor use
E Poveda, V Briz, V Roulet, M del Mar González… - Aids, 2007 - journals.lww.com
Aids, 2007•journals.lww.com
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 …
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 …
Abstract
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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