Back to Search Start Over

Structure-Activity Investigations and Optimisations of Non-metabolite Agonists for the Succinate Receptor 1

Authors :
Line Ørsted Bielefeldt
Mette Trauelsen
Elisabeth Rexen Ulven
Matjaz Brvar
Lisa K. I. Jensen
Michael Lückmann
Thue W. Schwartz
Thomas M. Frimurer
Source :
Scientific Reports, Vol 8, Iss 1, Pp 1-18 (2018), Rexen Ulven, E, Trauelsen, M, Brvar, M, Lückmann, M, Bielefeldt, L, Jensen, L K I, Schwartz, T W & Frimurer, T M 2018, ' Structure-Activity Investigations and Optimisations of Non-metabolite Agonists for the Succinate Receptor 1 ', Scientific Reports, vol. 8, 10010 . https://doi.org/10.1038/s41598-018-28263-7, Scientific Reports, Rexen Ulven, E, Trauelsen, M, Brvar, M, Lückmann, M, Bielefeldt, L Ø, Jensen, L K I, Schwartz, T W & Frimurer, T M 2018, ' Structure-Activity Investigations and Optimisations of Non-metabolite Agonists for the Succinate Receptor 1 ', Scientific Reports, vol. 8, no. 1, 10010, pp. 1-18 . https://doi.org/10.1038/s41598-018-28263-7
Publication Year :
2018
Publisher :
Nature Publishing Group, 2018.

Abstract

The succinate receptor 1 (SUCNR1) is a receptor for the metabolite succinate, which functions as a metabolic stress signal in the liver, kidney, adipose tissue and the retina. However, potent non-metabolite tool compounds are needed to reveal the physiological role and pharmacological potential of SUCNR1. Recently, we published the discovery of a computationally receptor-structure derived non-metabolite SUCNR1 agonist series with high target selectivity. We here report our structure-activity exploration and optimisation that has resulted in the development of agonists with nanomolar potency and excellent solubility and stability properties in a number of in vitro assays. Ligand-guided receptor models with high discriminative power between binding of active and inactive compounds were developed for design of novel chemotypes.

Details

Language :
English
ISSN :
20452322
Volume :
8
Issue :
1
Database :
OpenAIRE
Journal :
Scientific Reports
Accession number :
edsair.doi.dedup.....6f5703255d281374c7fefe07cc8d7a33