Literature DB >> 30783504

Computer-Assisted Discovery and Structural Optimization of a Novel Retinoid X Receptor Agonist Chemotype.

Pascal Heitel1, Leonie Gellrich1, Lena Kalinowsky1, Jan Heering2, Astrid Kaiser1, Julia Ohrndorf1, Ewgenij Proschak1, Daniel Merk1.   

Abstract

As universal heterodimer partners of many nuclear receptors, the retinoid X receptors (RXRs) constitute key transcription factors. They regulate cell proliferation, differentiation, inflammation, and metabolic homeostasis and have recently been proposed as potential drug targets for neurodegenerative and inflammatory diseases. Owing to the hydrophobic nature of RXR ligand binding sites, available synthetic RXR ligands are lipophilic, and their structural diversity is limited. Here, we disclose the computer-assisted discovery of a novel RXR agonist chemotype and its systematic optimization toward potent RXR modulators. We have developed a nanomolar RXR agonist with high selectivity among nuclear receptors and superior physicochemical properties compared to classical rexinoids that appears suitable for in vivo applications and as lead for future RXR-targeting medicinal chemistry.

Entities:  

Year:  2019        PMID: 30783504      PMCID: PMC6378677          DOI: 10.1021/acsmedchemlett.8b00551

Source DB:  PubMed          Journal:  ACS Med Chem Lett        ISSN: 1948-5875            Impact factor:   4.345


  2 in total

1.  Comprehensive Set of Tertiary Complex Structures and Palmitic Acid Binding Provide Molecular Insights into Ligand Design for RXR Isoforms.

Authors:  Apirat Chaikuad; Julius Pollinger; Michael Rühl; Xiaomin Ni; Whitney Kilu; Jan Heering; Daniel Merk
Journal:  Int J Mol Sci       Date:  2020-11-11       Impact factor: 5.923

2.  Activity Screening of Fatty Acid Mimetic Drugs Identified Nuclear Receptor Agonists.

Authors:  Moritz Helmstädter; Simone Schierle; Laura Isigkeit; Ewgenij Proschak; Julian Aurelio Marschner; Daniel Merk
Journal:  Int J Mol Sci       Date:  2022-09-03       Impact factor: 6.208

  2 in total

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