The eukaryotic protein kinases (ePKs) constitute one of the largest protein families in the human genome. EPKs are ATP-dependend phosphotransferase enzymes and key players in a broad variety of integral cellular processes including cell cycle, cell growth and death, metabolism and differentiation. The finding that many viral oncogenes encode kinases with constitutive enzyme activity raised interest in ePKs as pharmacological targets. Understanding and applying the relationship between the binding of inhibitors and the correlated mechanism of inhibition is the basis for targeted drug design. Here, we present a kinase analysis tool that aims to integrate the structural knowledge base available from public sources with practical chemogenomics. The application is based on flexible components that allow a variety of entry points into the kinase knowledge pool as guide to address issues like target selection, profiling panel selection and further exploration of existing structure/inhibitor projects.

Efficient data mining of the human kinome

242nd National Meeting (2011)

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