Correlation between a phenotypic assay and three bioinformatic tools for determining HIV co-receptor use
| Autor: | María del Mar González, Katharina Skrabal, Jean-Louis Faudon, Vincent Soriano, Verónica Briz, Vanessa Roulet, Eva Poveda |
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| Rok vydání: | 2007 |
| Předmět: |
Male
Receptors CXCR4 Co-receptor Genotype Receptors CCR5 Sequence analysis Concordance Molecular Sequence Data Immunology Human immunodeficiency virus (HIV) HIV Infections Computational biology HIV Envelope Protein gp120 Biology medicine.disease_cause Sensitivity and Specificity Correlation Receptors HIV medicine Humans Immunology and Allergy Amino Acid Sequence DNA Primers Base Sequence Phenotypic assay Computational Biology Sequence Analysis DNA Virology Predictive value Peptide Fragments Phenotype Infectious Diseases HIV-1 Female |
| Zdroj: | AIDS. 21:1487-1490 |
| ISSN: | 0269-9370 |
| DOI: | 10.1097/qad.0b013e32826fb741 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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