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Targeting RNA with Small Molecules: Identification of Selective, RNA-Binding Small Molecules Occupying Drug-Like Chemical Space.

Authors :
Rizvi NF
Santa Maria JP Jr
Nahvi A
Klappenbach J
Klein DJ
Curran PJ
Richards MP
Chamberlin C
Saradjian P
Burchard J
Aguilar R
Lee JT
Dandliker PJ
Smith GF
Kutchukian P
Nickbarg EB
Source :
SLAS discovery : advancing life sciences R & D [SLAS Discov] 2020 Apr; Vol. 25 (4), pp. 384-396. Date of Electronic Publication: 2019 Nov 08.
Publication Year :
2020

Abstract

Although the potential value of RNA as a target for new small molecule therapeutics is becoming increasingly credible, the physicochemical properties required for small molecules to selectively bind to RNA remain relatively unexplored. To investigate the druggability of RNAs with small molecules, we have employed affinity mass spectrometry, using the Automated Ligand Identification System (ALIS), to screen 42 RNAs from a variety of RNA classes, each against an array of chemically diverse drug-like small molecules (~50,000 compounds) and functionally annotated tool compounds (~5100 compounds). The set of RNA-small molecule interactions that was generated was compared with that for protein-small molecule interactions, and naïve Bayesian models were constructed to determine the types of specific chemical properties that bias small molecules toward binding to RNA. This set of RNA-selective chemical features was then used to build an RNA-focused set of ~3800 small molecules that demonstrated increased propensity toward binding the RNA target set. In addition, the data provide an overview of the specific physicochemical properties that help to enable binding to potential RNA targets. This work has increased the understanding of the chemical properties that are involved in small molecule binding to RNA, and the methodology used here is generally applicable to RNA-focused drug discovery efforts.

Details

Language :
English
ISSN :
2472-5560
Volume :
25
Issue :
4
Database :
MEDLINE
Journal :
SLAS discovery : advancing life sciences R & D
Publication Type :
Academic Journal
Accession number :
31701793
Full Text :
https://doi.org/10.1177/2472555219885373