Interpreting kinase profiling data can be complex due to the sheer number of kinases in the human genome. The kinome tree provides an intuitive visualization, grouping kinases by family and functional similarity.
By mapping a compound’s activity onto the kinome tree, researchers can quickly identify potential off-target interactions. For example, a compound intended to inhibit a single kinase may also show activity against a kinase in an unrelated family, flagging a potential safety concern. This visualization transforms complex datasets into actionable insights that inform lead optimization, safety assessments, and downstream development decisions.