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Identification of Novel Liver X Receptor Activators by Structure-Based Modeling
[Image: see text] 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,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American
Chemical Society
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360526/ https://www.ncbi.nlm.nih.gov/pubmed/22489742 http://dx.doi.org/10.1021/ci300096c |
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author | von Grafenstein, Susanne Mihaly-Bison, Judit Wolber, Gerhard Bochkov, Valery N. Liedl, Klaus R. Schuster, Daniela |
author_facet | von Grafenstein, Susanne Mihaly-Bison, Judit Wolber, Gerhard Bochkov, Valery N. Liedl, Klaus R. Schuster, Daniela |
author_sort | von Grafenstein, Susanne |
collection | PubMed |
description | [Image: see text] 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 EC(50) of around 5 μM. |
format | Online Article Text |
id | pubmed-3360526 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | American
Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-33605262012-05-25 Identification of Novel Liver X Receptor Activators by Structure-Based Modeling von Grafenstein, Susanne Mihaly-Bison, Judit Wolber, Gerhard Bochkov, Valery N. Liedl, Klaus R. Schuster, Daniela J Chem Inf Model [Image: see text] 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 EC(50) of around 5 μM. American Chemical Society 2012-04-10 2012-05-25 /pmc/articles/PMC3360526/ /pubmed/22489742 http://dx.doi.org/10.1021/ci300096c Text en Copyright © 2012 American Chemical Society http://pubs.acs.org This is an open-access article distributed under the ACS AuthorChoice Terms & Conditions. Any use of this article, must conform to the terms of that license which are available at http://pubs.acs.org. |
spellingShingle | von Grafenstein, Susanne Mihaly-Bison, Judit Wolber, Gerhard Bochkov, Valery N. Liedl, Klaus R. Schuster, Daniela Identification of Novel Liver X Receptor Activators by Structure-Based Modeling |
title | Identification of Novel
Liver X Receptor Activators
by Structure-Based Modeling |
title_full | Identification of Novel
Liver X Receptor Activators
by Structure-Based Modeling |
title_fullStr | Identification of Novel
Liver X Receptor Activators
by Structure-Based Modeling |
title_full_unstemmed | Identification of Novel
Liver X Receptor Activators
by Structure-Based Modeling |
title_short | Identification of Novel
Liver X Receptor Activators
by Structure-Based Modeling |
title_sort | identification of novel
liver x receptor activators
by structure-based modeling |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360526/ https://www.ncbi.nlm.nih.gov/pubmed/22489742 http://dx.doi.org/10.1021/ci300096c |
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