PLoS ONE · 2012 · 18 citations · 41 references
PharmacyMedicinal ChemistryPharmacologyDrug DesignDrug DiscoveryStructure-activity RelationshipsHit-to-lead OptimizationLead Compound DesignLead DiscoveryMolecular DockingPotency OptimizationProtein-ligand DockingKinase Inhibitor Library DesignKinase Inhibitor ProfilingKinase InhibitorsKinase Selectivity ProfilingLead ScaffoldsProtein Kinase InhibitorsTargeted Library DesignTherapeutic Target Identification
Protein kinase D (PKD) has emerged as a potential therapeutic target in multiple pathological conditions, including cancer and heart diseases. Potent and selective small molecule inhibitors of PKD are valuable for dissecting PKD-mediated cellular signaling pathways and for therapeutic application. In this study, we evaluated a targeted library of 235 small organic kinase inhibitors for PKD1 inhibitory activity at a single concentration. Twenty-eight PKD inhibitory chemotypes were identified and six exhibited excellent PKD1 selectivity. Five of the six lead structures share a common scaffold, with compound 139 being the most potent and selective for PKD vs PKC and CAMK. Compound 139 was an ATP-competitive PKD1 inhibitor with a low double-digit nanomolar potency and was also cell-active. Kinase profiling analysis identified this class of small molecules as pan-PKD inhibitors, confirmed their selectivity again PKC and CAMK, and demonstrated an overall favorable selectivity profile that could be further enhanced through structural modification. Furthermore, using a PKD homology model based on similar protein kinase structures, docking modes for compound 139 were explored and compared to literature examples of PKD inhibition. Modeling of these compounds at the ATP-binding site of PKD was used to rationalize its high potency and provide the foundation for future further optimization. Accordingly, using biochemical screening of a small number of privileged scaffolds and computational modeling, we have identified a new core structure for highly potent PKD inhibition with promising selectivity against closely related kinases. These lead structures represent an excellent starting point for the further optimization and the design of selective and therapeutically effective small molecule inhibitors of PKD.
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I-TASSER server for protein 3D structure prediction
Yang Zhang · BMC Bioinformatics · 2008 · 5.2K citations · Full text
A small molecule–kinase interaction map for clinical kinase inhibitors
Miles A. Fabian, William Biggs, Daniel K. Treiber et al. · Nature Biotechnology · 2005 · 1.9K citations · Full text