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Abstract

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
web-based 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 practice.