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Ligand-based virtual screening identifies a family of selective cannabinoid receptor 2 agonists

The cannabinoid receptor 2 (CB(2)R) has been linked with the regulation of inflammation, and selective receptor activation has been proposed as a target for the treatment of a range of inflammatory diseases such as atherosclerosis and arthritis. In order to identify selective CB(2)R agonists with ap...

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Detalles Bibliográficos
Autores principales: Gianella-Borradori, Matteo, Christou, Ivy, Bataille, Carole J.R., Cross, Rebecca L., Wynne, Graham M., Greaves, David R., Russell, Angela J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4346271/
https://www.ncbi.nlm.nih.gov/pubmed/25487422
http://dx.doi.org/10.1016/j.bmc.2014.11.002
Descripción
Sumario:The cannabinoid receptor 2 (CB(2)R) has been linked with the regulation of inflammation, and selective receptor activation has been proposed as a target for the treatment of a range of inflammatory diseases such as atherosclerosis and arthritis. In order to identify selective CB(2)R agonists with appropriate physicochemical and ADME properties for future evaluation in vivo, we first performed a ligand-based virtual screen. Subsequent medicinal chemistry optimisation studies led to the identification of a new class of selective CB(2)R agonists. Several examples showed high levels of activity (EC(50) < 200 nM) and binding affinity (K(i) < 200 nM) for the CB(2)R, and no detectable activity at the CB(1)R. The most promising example, DIAS2, also showed favourable in vitro metabolic stability and absorption properties along with a clean selectivity profile when evaluated against a panel of GPCRs and kinases.