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  Bioinformatics-assisted anti-HIV therapy

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

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 Urheber:
Lengauer, Thomas1, Autor           
Sing, Tobias1, Autor           
Affiliations:
1Computational Biology and Applied Algorithmics, MPI for Informatics, Max Planck Society, ou_40046              

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 Zusammenfassung: 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.

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Sprache(n): eng - English
 Datum: 2007-02-222006
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: eDoc: 314506
Anderer: Local-ID: C125673F004B2D7B-88596D9D3AAEC2DEC1257289005E58AD-LengauerNatRev2006
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Titel: Nature Reviews Microbiology
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 4 Artikelnummer: - Start- / Endseite: 790 - 797 Identifikator: -