| Literature DB >> 30719503 |
Jessica L Childs-Disney1, Tuan Tran1, Balayeshwanth R Vummidi1, Sai Pradeep Velagapudi1, Hafeez S Haniff1, Yasumasa Matsumoto1,2, Gogce Crynen3, Mark R Southern3, Avik Biswas4, Zi-Fu Wang1, Timothy L Tellinghuisen4,5, Matthew D Disney1,6.
Abstract
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 30 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.Entities:
Year: 2018 PMID: 30719503 PMCID: PMC6358276 DOI: 10.1016/j.chempr.2018.08.003
Source DB: PubMed Journal: Chem Impact factor: 22.804