Differentiation and classification of RNA motifs using small molecule-based pattern recognition.

Published

Book Section

Understanding how to design small molecules that target coding and non-coding RNA has the potential to exponentially increase the number of therapeutically-relevant druggable targets, which are currently mostly proteins. However, there is limited information on the principles at the basis of RNA recognition. In this chapter, we describe a pattern-based technique that can be used for the simultaneous elucidation of RNA motifs and small molecule features for RNA selective recognition, termed Pattern Recognition of RNA by Small Molecules (PRRSM). We provide protocols for the computational design and synthetic preparation of an RNA training set as well as how to perform the assay in plate reader format. Furthermore, we provide details on how to perform and interpret the statistical analysis and indicate possible future extensions of the technique. By combining insights into characteristics of the small molecules and of the RNA that leads to differentiation, PRRSM promises to accelerate the elucidation of the determinants at the basis of RNA recognition.

Full Text

Duke Authors

Cited Authors

  • Padroni, G; Eubanks, CS; Hargrove, AE

Published Date

  • January 2019

Volume / Issue

  • 623 /

Start / End Page

  • 101 - 130

PubMed ID

  • 31239043

Pubmed Central ID

  • 31239043

Digital Object Identifier (DOI)

  • 10.1016/bs.mie.2019.05.022