Abstract
Screening and identifying multi-target ligands becomes a daunting task when there are very few matching pharmacophoric features among the proteins. Herein, we describe a novel screening strategy to identify multi-target ligands for proteins having varying pharmacophoric features with their ligands. This strategy was adopted to identify multi-target ligands for death-associated protein kinase (DAPk) family. The role of the kinase activity of DAPk in eukaryotic cell apoptosis and the ability of bioavailable DAPk inhibitors to rescue neuronal death after brain injury have made it a drug-discovery target for neurodegenerative disorders. In this work, we employed a novel strategy using the existing computational approaches to design multi-target inhibitors, which can potentially inhibit one or any combination of the three DAPk family members. The strategy employs a combination of merged pharmacophore matching, database screening and molecular docking to reliably identify potential multi-target inhibitors targeted against DAPk protein family.
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