Reference : Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV
Parts of books : Contribution to collective works
Life sciences : Multidisciplinary, general & others
Arevir: A Secure Platform for Designing Personalized Antiretroviral Therapies Against HIV
Roomp, Kirsten mailto [Max Planck Institute for Informatics]
Beerenwinkel, Niko []
Sing, Tobias []
Schülter, Eugen []
Büch, Joachim []
Sierra-Aragon, Saleta []
Däumer, Martin []
Hoffmann, Daniel []
Kaiser, Rolf []
Lengauer, Thomas []
Selbig, Joachim []
Data Integration in the Life Sciences
Leser, U.
Naumann, F.
Eckman, B.
Springer-Verlag Berlin Heidelberg
[en] Despite the availability of antiretroviral combination therapies, success
in drug treatment of HIV-infected patients is limited. One reason for therapy
failure is the development of drug-resistant genetic variants. In principle,
the viral genomic sequence provides resistance information and could thus
guide the selection of an optimal drug combination. In practice however, the
benefit of this procedure is impaired by (1) the difficulty in inferring the clinically
relevant information from the genotype of the virus and (2) the restricted
availability of this information. We have developed a secure platform for
collaborative research aimed at optimizing anti-HIV therapies, called Arevir. A
relational database schema was designed and implemented together with a webbased
user interface. Our system provides a basis for monitoring patients, decision-
support, and computational analyses. Thus, it merges clinical, diagnostic
and bioinformatics efforts to exploit genomic and patient therapy data in clinical

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