Science · 2022 · 152 citations · 88 references
PharmacyMedicinal ChemistryPharmacologyComputational ChemistryComputational Medicinal ChemistryDrug DiscoveryLigand BindingMolecular DockingNonopioid AnalgesicsProtein-ligand DockingReceptor ModelingVirtual ScreeningAlpha-2 AgonistsNon-opioid AnalgesiaNonopioid AnalgesiaPain PharmacologyPharmacophore Model ConstructionReceptor-mediated AnalgesiaStructure-based Lead DiscoveryStructure-based Ligand Design
Because nonopioid analgesics are much sought after, we computationally docked more than 301 million virtual molecules against a validated pain target, the α 2A -adrenergic receptor (α 2A AR), seeking new α 2A AR agonists chemotypes that lack the sedation conferred by known α 2A AR drugs, such as dexmedetomidine. We identified 17 ligands with potencies as low as 12 nanomolar, many with partial agonism and preferential G i and G o signaling. Experimental structures of α 2A AR complexed with two of these agonists confirmed the docking predictions and templated further optimization. Several compounds, including the initial docking hit ‘9087 [mean effective concentration (EC 50 ) of 52 nanomolar] and two analogs, ‘7075 and PS75 (EC 50 4.1 and 4.8 nanomolar), exerted on-target analgesic activity in multiple in vivo pain models without sedation. These newly discovered agonists are interesting as therapeutic leads that lack the liabilities of opioids and the sedation of dexmedetomidine.
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