Identification of Novel Liver X Receptor Activators by Structure-Based Modeling
Author(s) -
Susanne von Grafenstein,
Judit MihalyBison,
Gerhard Wolber,
Valery N. Bochkov,
Klaus R. Liedl,
Daniela Schuster
Publication year - 2012
Publication title -
journal of chemical information and modeling
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.24
H-Index - 160
eISSN - 1549-960X
pISSN - 1549-9596
DOI - 10.1021/ci300096c
Subject(s) - liver x receptor , pharmacophore , virtual screening , computational biology , nuclear receptor , identification (biology) , in vitro , receptor , chemistry , biochemistry , gene , bioinformatics , biology , botany , transcription factor
Liver X receptors (LXRs) are members of the nuclear receptor family. Activators of LXRs are of high pharmacological interest as LXRs regulate cholesterol, fatty acid, and carbohydrate metabolism as well as inflammatory processes. On the basis of different X-ray crystal structures, we established a virtual screening workflow for the identification of novel LXR modulators. A two-step screening concept to identify active compounds included 3D-pharmacophore filters and rescoring by shape alignment. Eighteen virtual hits were tested in vitro applying a reporter gene assay, where concentration-dependent activity was proven for four novel lead structures. The most active compound 10, a 1,4-naphthochinone, has an estimated EC₅₀ of around 5 μM.
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