Published in
Oxford University Press, Bioinformatics, 21(21), p. 3943-3950, 2005
DOI: 10.1093/bioinformatics/bti654
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Computational methods for the design of effective therapies against drug resistant HIV strains
Journal article published in 2005 by
N. Beerenwinkel,
T. Sing,
T. Lengauer,
J. Rahnenfuhrer,
K. Roomp,
I. Savenkov,
R. Fischer,
D. Hoffmann 
,
J. Selbig,
K. Korn ,
H. Walter,
T. Berg,
P. Braun,
G. Fatkenheuer,
M. Oette
and other authors.
,
J. Selbig,
K. Korn ,
H. Walter,
T. Berg,
P. Braun,
G. Fatkenheuer,
M. Oette
and other authors.
This paper is available in a repository.
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Abstract
The development of drug resistance is a major obstacle to successful treatment of HIV infection. The extraordinary replication dynamics of HIV facilitates its escape from selective pressure exerted by the human immune system and by combination drug therapy. We have developed several computational methods whose combined use can support the design of optimal antiretroviral therapies based on viral genomic data.