Systematic Identification of Synergistic Drug Pairs Targeting HIV

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Systematic Identification of Synergistic Drug Pairs Targeting HIV

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Title: Systematic Identification of Synergistic Drug Pairs Targeting HIV
Author: Tan, Xu; Hu, Long; Luquette, Lovelace J.; Gao, Geng; Liu, Yifang; Qu, Hongjing; Xi, Ruibin; Lu, Zhi John; Park, Peter J.; Elledge, Stephen J.

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Citation: Tan, Xu, Long Hu, Lovelace J. Luquette, Geng Gao, Yifang Liu, Hongjing Qu, Ruibin Xi, Zhi John Lu, Peter J. Park, and Stephen J. Elledge. 2012. Systematic identification of synergistic drug pairs targeting hiv. Nature biotechnology 30(11): 1125-1130.
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Abstract: The systematic identification of effective drug combinations has been hindered by the unavailability of methods that can explore the large combinatorial search space of drug interactions. Here we present a multiplex screening method named MuSIC (Multiplex Screening for Interacting Compounds), which expedites the comprehensive assessment of pair-wise compound interactions. We examined ~500,000 drug pairs from 1000 FDA-approved or clinically tested drugs and identified drugs that synergize to inhibit HIV replication. Our analysis reveals an enrichment of anti-inflammatory drugs in drug combinations that synergize against HIV, indicating HIV benefits from inflammation that accompanies its infection. Multiple drug pairs identified in this study, including glucocorticoid and nitazoxanide, synergize by targeting different steps of the HIV life cycle. As inflammation accompanies HIV infection, our findings indicate that inhibiting inflammation could curb HIV propagation. MuSIC can be applied to a wide variety of disease-relevant screens to facilitate efficient identification of compound combinations.
Published Version: doi:10.1038/nbt.2391
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