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 genotypic predictions based on V3 sequences and phenotypic determination of HIV-1 tropism.

AIDS (London, England) - 12 Sept 2008

Raymond Stéphanie, Delobel Pierre, Mavigner Maud, Cazabat Michelle, Souyris Corinne, Sandres-Sauné Karine, Cuzin Lise, Marchou Bruno, Massip Patrice, Izopet Jacques

Abstract excerpt

OBJECTIVE: Replacing phenotypic assays with simple genotypic predictions of HIV-1 coreceptor usage would make the clinical use of CCR5 antagonists easier. DESIGN: Paired genotypic and phenotypic determination of HIV-1 coreceptor usage was performed to assess several genotypic approaches for detecting CXCR4-using and CCR5-using viruses in a clinical setting. METHODS: HIV-1 coreceptor usage was prospectively...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Engineering
Share to Genetic Vectors

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to HIV Envelope Protein gp120

Share to Peptide Fragments

Share to Receptors, CCR5

Share to Receptors, CXCR4

Share to Sequence Analysis, Protein

Source

Identifiers

PMID: 18753930
DOI: 10.1097/QAD.0b013e32830ebcd4

Genes

CCR5
CXCR4

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Correlation between genotypic predictions based on V3 sequences and phenotypic determination of HIV-1 tropism.PMID 18753930Read ↗

A highly sensitive and specific model for predicting HIV-1 tropism in treatment-experienced patients combining interpretation of V3 loop sequences and clinical parameters.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 ↗

Improvement in the determination of HIV-1 tropism using the V3 gene sequence and a combination of bioinformatic tools.Semantic proximity Read ↗

V3 net charge: additional tool in HIV-1 tropism prediction.Semantic proximity Read ↗

Prediction of HIV type 1 subtype C tropism by genotypic algorithms built from subtype B viruses.Semantic proximity Read ↗

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

Genotypic prediction of HIV-1 subtype D tropism.Semantic proximity Read ↗

Genotypic prediction of HIV-1 CRF01-AE tropism.Semantic proximity Read ↗

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

Performance of commonly used genotypic assays and comparison with phenotypic assays of HIV-1 coreceptor tropism in acutely HIV-1-infected patients.Semantic proximity Read ↗

Performance of genotypic algorithms for predicting HIV-1 tropism measured against the enhanced-sensitivity Trofile coreceptor tropism assay.Semantic proximity Read ↗

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

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