Literature DB >> 21300150

Identification of chemically diverse, novel inhibitors of 17β-hydroxysteroid dehydrogenase type 3 and 5 by pharmacophore-based virtual screening.

Daniela Schuster1, Dorota Kowalik, Johannes Kirchmair, Christian Laggner, Patrick Markt, Christel Aebischer-Gumy, Fabian Ströhle, Gabriele Möller, Gerhard Wolber, Thomas Wilckens, Thierry Langer, Alex Odermatt, Jerzy Adamski.   

Abstract

17β-Hydroxysteroid dehydrogenase type 3 and 5 (17β-HSD3 and 17β-HSD5) catalyze testosterone biosynthesis and thereby constitute therapeutic targets for androgen-related diseases or endocrine-disrupting chemicals. As a fast and efficient tool to identify potential ligands for 17βHSD3/5, ligand- and structure-based pharmacophore models for both enzymes were developed. The models were evaluated first by in silico screening of commercial compound databases and further experimentally validated by enzymatic efficacy tests of selected virtual hits. Among the 35 tested compounds, 11 novel inhibitors with distinct chemical scaffolds, e.g. sulfonamides and triazoles, and with different selectivity properties were discovered. Thereby, we provide several potential starting points for further 17β-HSD3 and 17β-HSD5 inhibitor development. Article from the Special issue on Targeted Inhibitors.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21300150     DOI: 10.1016/j.jsbmb.2011.01.016

Source DB:  PubMed          Journal:  J Steroid Biochem Mol Biol        ISSN: 0960-0760            Impact factor:   4.292


  16 in total

Review 1.  Human hydroxysteroid dehydrogenases and pre-receptor regulation: insights into inhibitor design and evaluation.

Authors:  Trevor M Penning
Journal:  J Steroid Biochem Mol Biol       Date:  2011-01-25       Impact factor: 4.292

2.  Development of potent and selective inhibitors of aldo-keto reductase 1C3 (type 5 17β-hydroxysteroid dehydrogenase) based on N-phenyl-aminobenzoates and their structure-activity relationships.

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Review 3.  Computational methods in drug discovery.

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Journal:  Pharmacol Rev       Date:  2013-12-31       Impact factor: 25.468

Review 4.  Virtual screening applications in short-chain dehydrogenase/reductase research.

Authors:  Katharina R Beck; Teresa Kaserer; Daniela Schuster; Alex Odermatt
Journal:  J Steroid Biochem Mol Biol       Date:  2017-03-09       Impact factor: 4.292

Review 5.  AKR1C3 as a target in castrate resistant prostate cancer.

Authors:  Adegoke O Adeniji; Mo Chen; Trevor M Penning
Journal:  J Steroid Biochem Mol Biol       Date:  2013-06-06       Impact factor: 4.292

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Authors:  Vitaliy M Sviripa; Michael V Fiandalo; Kristin L Begley; Przemyslaw Wyrebek; Liliia M Kril; Andrii G Balia; Sean R Parkin; Vivekanandan Subramanian; Xi Chen; Alexander H Williams; Chang-Guo Zhan; Chunming Liu; James L Mohler; David S Watt
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7.  In Silico Drug Discovery for Treatment of Virus Diseases.

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Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 2.622

8.  Virtual screening as a strategy for the identification of xenobiotics disrupting corticosteroid action.

Authors:  Lyubomir G Nashev; Anna Vuorinen; Lukas Praxmarer; Boonrat Chantong; Diego Cereghetti; Rahel Winiger; Daniela Schuster; Alex Odermatt
Journal:  PLoS One       Date:  2012-10-04       Impact factor: 3.240

Review 9.  Recent Advances in Drug Design and Drug Discovery for Androgen- Dependent Diseases.

Authors:  Marisa Cabeza; Araceli Sánchez-Márquez; Mariana Garrido; Aylín Silva; Eugene Bratoeff
Journal:  Curr Med Chem       Date:  2016       Impact factor: 4.530

10.  Ligand-based pharmacophore modeling and virtual screening for the discovery of novel 17β-hydroxysteroid dehydrogenase 2 inhibitors.

Authors:  Anna Vuorinen; Roger Engeli; Arne Meyer; Fabio Bachmann; Ulrich J Griesser; Daniela Schuster; Alex Odermatt
Journal:  J Med Chem       Date:  2014-07-10       Impact factor: 7.446

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