Title |
Identifying the preferred RNA motifs and chemotypes that interact by probing millions of combinations
|
---|---|
Published in |
Nature Communications, October 2012
|
DOI | 10.1038/ncomms2119 |
Pubmed ID | |
Authors |
Tuan Tran, Matthew D. Disney |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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France | 2 | 2% |
United States | 2 | 2% |
Spain | 1 | 1% |
Unknown | 84 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 34% |
Researcher | 22 | 25% |
Student > Master | 9 | 10% |
Student > Bachelor | 4 | 4% |
Student > Postgraduate | 3 | 3% |
Other | 9 | 10% |
Unknown | 12 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Chemistry | 26 | 29% |
Agricultural and Biological Sciences | 24 | 27% |
Biochemistry, Genetics and Molecular Biology | 17 | 19% |
Physics and Astronomy | 2 | 2% |
Neuroscience | 2 | 2% |
Other | 3 | 3% |
Unknown | 15 | 17% |