| Literature DB >> 30151082 |
Daniel Merk1, Francesca Grisoni1,2, Lukas Friedrich1, Elena Gelzinyte1, Gisbert Schneider1.
Abstract
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.Entities:
Year: 2018 PMID: 30151082 PMCID: PMC6096356 DOI: 10.1039/c8md00134k
Source DB: PubMed Journal: Medchemcomm ISSN: 2040-2503 Impact factor: 3.597