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Computational methods for the design of effective therapies against drug resistant HIV strains

  • 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

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Author details:Niko Beerenwinkel, Tobias Sing, Thomas Lengauer, Joerg Rahnenfuhrer, Kirsten Roomp, Igor Savenkov, Roman Fischer, Daniel Hoffmann, Joachim SelbigGND, Klaus Korn, Hauke Walter, Thomas Berg, Patrick Braun, Gerd Faetkenheuer, Mark Oette, Juergen Rockstroh, Bernd Kupfer, Rolf Kaiser, Martin Daeumer
Publication type:Article
Language:English
Year of first publication:2005
Publication year:2005
Release date:2017/03/24
Source:Bioinformatics. - 21 (2005), 21, S. 3943 - 3950
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik und Computational Science
Peer review:Referiert
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Informatik
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