1. Molecular Hybridization of Potent and Selective γ-Hydroxybutyric Acid (GHB) Ligands: Design, Synthesis, Binding Studies, and Molecular Modeling of Novel 3-Hydroxycyclopent-1-enecarboxylic Acid (HOCPCA) and trans-γ-Hydroxycrotonic Acid (T-HCA) Analogs
- Author
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Rasmus P. Clausen, Claus H. Jensen, Sara Björk Sigurdardóttir, Kenneth T. Kongstad, David E. Gloriam, Petrine Wellendorph, Mia Nittegaard-Nielsen, Christina Birkedahl Falk-Petersen, Francesco Bavo, Yongsong Tian, Jan Kehler, Kasper Harpsøe, Jacob Krall, Stine B. Vogensen, Bente Frølund, and Anne S. Haugaard
- Subjects
Models, Molecular ,Molecular model ,Stereochemistry ,Carboxylic Acids ,Molecular Conformation ,Hydroxybutyrates ,Cyclopentanes ,Ligands ,01 natural sciences ,Structure-Activity Relationship ,03 medical and health sciences ,chemistry.chemical_compound ,0302 clinical medicine ,γ-Hydroxybutyric acid ,Drug Discovery ,T-HCA ,Binding site ,Binding Sites ,010405 organic chemistry ,Chemistry ,Ligand ,0104 chemical sciences ,Molecular hybridization ,Design synthesis ,Crotonates ,Drug Design ,Molecular Medicine ,Pharmacophore ,030217 neurology & neurosurgery - Abstract
γ-hydroxybutyric acid (GHB) is a neuroactive substance with specific high-affinity binding sites. To facilitate target identification and ligand optimization, we herein report a comprehensive structure-affinity relationship study for novel ligands targeting these binding sites. A molecular hybridization strategy was used based on the conformationally restricted 3-hydroxycyclopent-1-enecarboxylic acid (HOCPCA) and the linear GHB analog, trans-4-hydroxycrotonic acid (T-HCA). In general, all structural modifications performed on HOCPCA led to reduced affinity. In contrast, introduction of diaromatic substituents into the 4-position of T-HCA led to high-affinity analogs (medium nanomolar Ki) for the GHB high-affinity binding sites as the most high-affinity analogs reported to date. The SAR data formed the basis for a 3-dimensional pharmacophore model for GHB ligands, which identified molecular features important for high-affinity binding, with high predictive validity. These findings will be valuable in the f...
- Published
- 2017