Article
Quantitative prediction of integrase inhibitor resistance from genotype through consensus linear regression modeling.
Virology journal - 3 Jan 2013
Van der Borght Koen, Verheyen Ann, Feyaerts Maxim, Van Wesenbeeck Liesbeth, Verlinden Yvan, Van Craenenbroeck Elke, van Vlijmen Herman
Abstract excerpt
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 integrase genotype. METHODS: We developed a clonal genotype-phenotype database with 991 clones from 153 clinical isolates...
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