Quantitative prediction of integrase inhibitor resistance from genotype through consensus linear regression modeling

BACKGROUND: Integrase inhibitors (INI) form a new drug class in the treatment of HIV-1 patients. We developed a linear regression modeling approach to make a quantitative raltegravir (RAL) resistance phenotype prediction, as Fold Change in IC50 against a wild type virus, from mutations in the integr...

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Detalles Bibliográficos
Autores principales: Van der Borght, Koen, Verheyen, Ann, Feyaerts, Maxim, Van Wesenbeeck, Liesbeth, Verlinden, Yvan, Van Craenenbroeck, Elke, van Vlijmen, Herman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3551713/
https://www.ncbi.nlm.nih.gov/pubmed/23282253
http://dx.doi.org/10.1186/1743-422X-10-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3551713/
https://www.ncbi.nlm.nih.gov/pubmed/23282253
http://dx.doi.org/10.1186/1743-422X-10-8

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