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Host sequence motifs shared by HIV predict response to antiretroviral therapy.

BMC medical genomics | 2009

The HIV viral genome mutates at a high rate and poses a significant long term health risk even in the presence of combination antiretroviral therapy. Current methods for predicting a patient's response to therapy rely on site-directed mutagenesis experiments and in vitro resistance assays. In this bioinformatics study we treat response to antiretroviral therapy as a two-body problem: response to therapy is considered to be a function of both the host and pathogen proteomes. We set out to identify potential responders based on the presence or absence of host protein and DNA motifs on the HIV proteome.

Pubmed ID: 19627600 RIS Download

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Associated grants

  • Agency: NHGRI NIH HHS, United States
    Id: T32 HG000046

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HIV Databases (tool)

RRID:SCR_000614

Contains comprehensive data on HIV genetic sequences and immunological epitopes. This collection of databases contains tools to visualize and analyze HIV-related data.

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