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

  • Authors:

  • Niko Beerenwinkel;Tobias Sing;Thomas Lengauer;Jörg Rahnenführer;Kirsten Roomp;Igor Savenkov;Roman Fischer;Daniel Hoffmann;Joachim Selbig;Klaus Korn;Hauke Walter;Thomas Berg;Patrick Braun;Gerd Fätkenheuer;Mark Oette;Jürgen Rockstroh;Bernd Kupfer;Rolf Kaiser;Martin Däumer

  • Affiliations:

  • Department of Mathematics, University of California Berkeley, CA, USA;Max Planck Institute for Informatics Saarbrücken, Germany;Max Planck Institute for Informatics Saarbrücken, Germany;Max Planck Institute for Informatics Saarbrücken, Germany;Max Planck Institute for Informatics Saarbrücken, Germany;Max Planck Institute for Informatics Saarbrücken, Germany;Center of Advanced European Studies and Research Bonn, Germany;Center of Advanced European Studies and Research Bonn, Germany;Max Planck Institute of Molecular Plant Physiology and University of Potsdam Germany;Institute of Clinical and Molecular Virology, University of Erlangen-Nürnberg Erlangen, Germany;Institute of Clinical and Molecular Virology, University of Erlangen-Nürnberg Erlangen, Germany;Medical Laboratory Berlin, Germany;PZB Aachen, Germany;Department of Internal Medicine, University of Cologne Germany;Department of Gastroenterology, University of Düsseldorf Germany;Department of Internal Medicine, University of Bonn Germany;Institute of Medical Microbiology and Immunology, University of Bonn Germany;Institute of Virology, University of Cologne Germany;Institute of Virology, University of Cologne Germany

  • Venue:
  • Bioinformatics
  • Year:
  • 2005

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Abstract

Summary: 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. Contact: niko@math.berkeley.edu