Journal of Chemical Information and Modeling · 2014 · 33 citations · 57 references
MedicineMedicinal ChemistryPharmacologyDrug DiscoveryNeuropharmacologyPharmacophore ModelingCholinergic PharmacologyLigand BindingPharmacophore ScreeningReceptor PharmacologySerotonergic PharmacologyVirtual Screening5-Hydroxytryptamine 3 Receptor Antagonists5-Hydroxytryptamine Receptor PharmacologyCommon-feature Pharmacophore ModelingHistamine Receptor AntagonismHistamine Receptor AntagonistsHistamine Receptor PharmacologySerotonergic Drug DiscoverySerotonin Receptor Pharmacology
In recent years, preclinical and clinical studies have generated considerable interest in the development of histamine H3 receptor (H3R) antagonists as novel treatment for degenerative disorders associated with impaired cholinergic function. To identify novel scaffolds for H3R antagonism, a common feature-based pharmacophore model was developed and used to screen the 17,194 compounds of the CERMN (Centre d'Etudes et de Recherche sur le Médicament de Normandie) chemical library. Out of 268 virtual hits which have been gathered in 34 clusters, we were particularly interested in tricyclic derivatives also exhibiting a potent 5HT4R affinity. Benzo[h][1,6]naphthyridine derivatives showed the highest H3R affinity, and compound 17 (H3R Ki = 41.6 nM; 5-HT4R Ki = 208 nM) completely reversed the amnesiant effect of scopolamine at 3 mg/kg in a spatial working memory experiment. For the first time we demonstrated the feasibility to combine H3R and 5-HT4R activities in a single molecule, raising the exciting possibility that dual H3R antagonist/5HT4R agonist have potential for the treatment of neurodegenerative diseases such as Alzheimer's disease.
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Protein Structure Modeling with MODELLER
Narayanan Eswar, David Eramian, Ben Webb et al. · Methods in molecular biology · 2008 · 1.8K citations