The lack of potent subtype-selective modulators of retinoid X receptors (RXRs) has hindered their full exploitation as promising drug targets. Using computational similarity searching, target prediction and automated de novo design, we identified novel RXR ligands exhibiting innovative molecular frameworks, pronounced receptor-subtype preference and suitable properties for hit-to-lead expansion.
Bibliographical noteFunding Information:
This research was financially supported by the Swiss National Science Foundation (grant no. IZSEZ0_177477). D. M. was supported by an ETH Zurich Postdoctoral Fellowship (grant no. 16-2 FEL-07).
© The Royal Society of Chemistry.