4.4 Article

Correlation Analysis of Target Selectivity and Side Effects of FDA-Approved Kinase Inhibitors

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CHEMISTRYSELECT
卷 6, 期 30, 页码 7799-7814

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WILEY-V C H VERLAG GMBH
DOI: 10.1002/slct.202101367

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Antitumor agents; Kinase inhibitors; Medicinal chemistry; Polypharmacology

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The study analyzed the molecular targets of 41 US FDA-approved kinase inhibitors, focusing on 18 tyrosine kinase inhibitors. By evaluating their selectivity profiles and interactions with multiple targets at clinically relevant doses, the research aimed to explore the correlation between target engagement profiles and reported side effects. The findings provide insights into the off-target effects of kinase inhibitors and their impact on toxicity, contributing to a better understanding of the structural-activity relationship of KIs.
Kinase inhibitors (KIs) represent a popular class of therapeutic agents and chemical probes but most of them tend to be polypharmacological. Receptor and non-receptor Tyrosine KIs can target more than 100 kinases simultaneously compare to other KIs. We here analyze the molecular targets of 41 U.S. Food and Drug Administration (FDA)-approved KIs. We chose 18 drugs (Tyrosine KIs) and sought out to evaluate their selectivity profile and engagement with a number of targets in vivo at clinically relevant doses. We also wanted to see whether there prevails any correlation between the target engagement profile and the reported side effects for specific KIs chosen as test cases. To explore all clinical targets of the 18 KIs, we considered the free (unbound) maximum serum concentration (C-max) of each KI and only chose targets for which the cognate affinities lie within the reported free C-max values, thereby allowing plausible interaction in clinical doses. We retrieved the side effects of those KIs that is reported in the FDA adverse event reporting system. We illustrate how correlation analysis of target-side effect can give a new insight into the off target of KIs and their effect on increasing the toxicity of KIs. These analyses could aid our understanding of the structural-activity relationship of KIs.

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