Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Correlation between a phenotypic assay and three bioinformatic tools for determining HIV co-receptor use.

AIDS (London, England) - 11 Jul 2007

Poveda Eva, Briz Verónica, Roulet Vanessa, Del Mar González María, Faudon Jean-Louis, Skrabal Katharina, Soriano Vincent

Abstract excerpt

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...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to HIV-1
Share to HIV Envelope Protein gp120

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to HIV Infections

Share to Peptide Fragments

Share to Receptors, CCR5

Share to Receptors, CXCR4

Share to Receptors, HIV

Share to Sensitivity and Specificity

Source

Identifiers

PMID: 17589199
DOI: 10.1097/QAD.0b013e32826fb741

Genes

CCR5

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Correlation between a phenotypic assay and three bioinformatic tools for determining HIV co-receptor use.PMID 17589199Read ↗

HIV-1 tropism determination using a phenotypic Env recombinant viral assay highlights overestimation of CXCR4-usage by genotypic prediction algorithms for CRF01_AE and CRF02_AG [corrected].Semantic proximity Read ↗

Current V3 genotyping algorithms are inadequate for predicting X4 co-receptor usage in clinical isolates.Semantic proximity Read ↗

Discordance in HIV-1 co-receptor use prediction by different genotypic algorithms and phenotype assay: intermediate profile in relation to concordant predictions.Semantic proximity Read ↗

Evaluation of genotypic tropism prediction tests compared with in vitro co-receptor usage in HIV-1 primary isolates of diverse subtypes.Semantic proximity Read ↗

Development and Validation of a Genotypic Assay to Quantify CXCR4- and CCR5-Tropic Human Immunodeficiency Virus Type-1 (HIV-1) Populations and a Comparison to Trofile®.Semantic proximity Read ↗

Correlation between genotypic (V3 population sequencing) and phenotypic (Trofile ES) methods of characterizing co-receptor usage of HIV-1 from 200 treatment-naïve HIV patients screened for Study A4001078.Semantic proximity Read ↗

Comparison of two genotypic algorithms to determine HIV-1 tropism.Semantic proximity Read ↗

Performance of a population-based HIV-1 tropism phenotypic assay and correlation with V3 genotypic prediction tools in recent HIV-1 seroconverters.Semantic proximity Read ↗

A genotypic method for determining HIV-2 coreceptor usage enables epidemiological studies and clinical decision support.Semantic proximity Read ↗

Evaluation of eight different bioinformatics tools to predict viral tropism in different human immunodeficiency virus type 1 subtypes.Semantic proximity Read ↗

Chemokine co-receptor usage in HIV-1-infected treatment-naïve voluntary counselling and testing clients in Southern Taiwan.Semantic proximity Read ↗

Prediction of Co-Receptor Usage of HIV-1 from GenotypeSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.