Systematic identification of synergistic drug pairs targeting HIV View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-11

AUTHORS

Xu Tan, Long Hu, Lovelace J Luquette, Geng Gao, Yifang Liu, Hongjing Qu, Ruibin Xi, Zhi John Lu, Peter J Park, Stephen J Elledge

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 multiplex screening for interacting compounds (MuSIC), which expedites the comprehensive assessment of pairwise compound interactions. We examined ∼500,000 drug pairs from 1,000 US Food and Drug Administration (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. As inflammation accompanies HIV infection, these findings indicate that inhibiting inflammation could curb HIV propagation. Multiple drug pairs identified in this study, including various glucocorticoids and nitazoxanide (NTZ), synergize by targeting different steps in the HIV life cycle. MuSIC can be applied to a wide variety of disease-relevant screens to facilitate efficient identification of compound combinations. More... »

PAGES

1125

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nbt.2391

DOI

http://dx.doi.org/10.1038/nbt.2391

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044238446

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23064238


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