Identifying the preferred RNA motifs and chemotypes that interact by probing millions of combinations

Tuan Tran and Matthew D. Disney ()
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Tuan Tran: University at Buffalo
Matthew D. Disney: The Scripps Research Institute

Nature Communications, 2012, vol. 3, issue 1, 1-9

Abstract: Abstract RNA is an important therapeutic target but information about RNA–ligand interactions is limited. Here, we report a screening method that probes over 3,000,000 combinations of RNA motif-small molecule interactions to identify the privileged RNA structures and chemical spaces that interact. Specifically, a small molecule library biased for binding RNA was probed for binding to over 70,000 unique RNA motifs in a high throughput solution-based screen. The RNA motifs that specifically bind each small molecule were identified by microarray-based selection. In this library-versus-library or multidimensional combinatorial screening approach, hairpin loops (among a variety of RNA motifs) were the preferred RNA motif space that binds small molecules. Furthermore, it was shown that indole, 2-phenyl indole, 2-phenyl benzimidazole and pyridinium chemotypes allow for specific recognition of RNA motifs. As targeting RNA with small molecules is an extremely challenging area, these studies provide new information on RNA–ligand interactions that has many potential uses.

Date: 2012
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DOI: 10.1038/ncomms2119

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