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A Massively Parallel Selection of Small Molecule-RNA Motif Binding Partners Informs Design of an Antiviral from Sequence

Authors :
Jessica L. Childs-Disney
Timothy L. Tellinghuisen
Balayeshwanth R. Vummidi
Mark R. Southern
Zi-Fu Wang
Avik Biswas
Gogce Crynen
Matthew D. Disney
Sai Pradeep Velagapudi
Hafeez S. Haniff
Yasumasa Matsumoto
Tuan Tran
Source :
Chem. 4(10)
Publication Year :
2019

Abstract

Summary Many RNAs cause disease; however, RNA is rarely exploited as a small-molecule drug target. Our programmatic focus is to define privileged RNA motif small-molecule interactions to enable the rational design of compounds that modulate RNA biology starting from only sequence. We completed a massive, library-versus-library screen that probed over 50 million binding events between RNA motifs and small molecules. The resulting data provide a rich encyclopedia of small-molecule RNA recognition patterns, defining chemotypes and RNA motifs that confer selective, avid binding. The resulting interaction maps were mined against the entire viral genome of hepatitis C virus (HCV). A small molecule was identified that avidly bound RNA motifs present in the HCV 3′ UTR and inhibited viral replication while having no effect on host cells. Collectively, this study represents the first whole-genome pattern recognition between small molecules and RNA folds.

Details

ISSN :
24519294
Volume :
4
Issue :
10
Database :
OpenAIRE
Journal :
Chem
Accession number :
edsair.doi.dedup.....7ce96e47b7556d88f1b4a3c630a28219