| Literature DB >> 21825300 |
Martin Stürmer1, Christoph Stephan, Peter Gute, Gaby Knecht, Markus Bickel, Hans-Reinhard Brodt, Hans W Doerr, Lutz Gürtler, Pierre Lecocq, Margriet van Houtte.
Abstract
Genotypes of samples from protease inhibitor-naïve patients in Frankfurt's HIV Cohort were analyzed with five tipranavir resistance prediction algorithms. Mean scores were higher in non-B than in B subtypes. The proportion of non-B subtypes increased with increasing scores, except in weighted algorithms. Virtual and in vitro phenotype analyses of samples with increased scores showed no reduced tipranavir susceptibility. Current algorithms appear suboptimal for interpretation of resistance to tipranavir in non-B subtypes; increased scores might reflect algorithm bias rather than "natural resistance."Entities:
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Year: 2011 PMID: 21825300 PMCID: PMC3195027 DOI: 10.1128/AAC.00611-11
Source DB: PubMed Journal: Antimicrob Agents Chemother ISSN: 0066-4804 Impact factor: 5.191