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

被引:31
作者
Heitel, Pascal [1 ]
Gellrich, Leonie [1 ]
Kalinowsky, Lena [1 ]
Heering, Jan [2 ]
Kaiser, Astrid [1 ]
Ohrndorf, Julia [1 ]
Proschak, Ewgenij [1 ]
Merk, Daniel [1 ]
机构
[1] Goethe Univ Frankfurt, Inst Pharmaceut Chem, Max von Laue Str 9, D-60438 Frankfurt, Germany
[2] Fraunhofer Inst Mol Biol & Appl Ecol IME, Project Grp Translat Med & Pharmacol TMP, Theodor Stern Kai 7, D-60596 Frankfurt, Germany
来源
ACS MEDICINAL CHEMISTRY LETTERS | 2019年 / 10卷 / 02期
关键词
Nuclear receptors; RXR; Neurodegeneration; Inflammation; RXR AGONIST; CANCER; BEXAROTENE; OPPORTUNITIES; PREVENTION; REXINOIDS; ACID;
D O I
10.1021/acsmedchemlett.8b00551
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
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.
引用
收藏
页码:203 / 208
页数:11
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