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Journal Article

Bioinformatics-assisted anti-HIV therapy

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons44907

Lengauer,  Thomas
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45492

Sing,  Tobias
Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society;

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Citation

Lengauer, T., & Sing, T. (2006). Bioinformatics-assisted anti-HIV therapy. Nature Reviews Microbiology, 4, 790-797.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-2241-8
Abstract
Highly active antiretroviral therapy (HAART), in which three or more drugs are given in combination, has substantially improved the clinical management of HIV-1 infection. Still, the emergence of drug-resistant variants eventually leads to therapy failure in most patients. In such a scenario, the high diversity of resistance-associated mutational patterns complicates the choice of an optimal follow-up regimen. To support physicians in this task, a range of bioinformatics tools for predicting drug resistance or response to combination therapy from the viral genotype have been developed. With several free and commercial software services available, computational advice is rapidly gaining acceptance as an important element of rational decision-making in the treatment of HIV infection.