Quantitative conformational profiling of kinase inhibitors reveals origins of selectivity for Aurora kinase activation states

Author:

Lake Eric W.,Muretta Joseph M.,Thompson Andrew R.,Rasmussen Damien M.,Majumdar Abir,Faber Erik B.,Ruff Emily F.,Thomas David D.,Levinson Nicholas M.ORCID

Abstract

Protein kinases undergo large-scale structural changes that tightly regulate function and control recognition by small-molecule inhibitors. Methods for quantifying the conformational effects of inhibitors and linking them to an understanding of selectivity patterns have long been elusive. We have developed an ultrafast time-resolved fluorescence methodology that tracks structural movements of the kinase activation loop in solution with angstrom-level precision, and can resolve multiple structural states and quantify conformational shifts between states. Profiling a panel of clinically relevant Aurora kinase inhibitors against the mitotic kinase Aurora A revealed a wide range of conformational preferences, with all inhibitors promoting either the active DFG-in state or the inactive DFG-out state, but to widely differing extents. Remarkably, these conformational preferences explain broad patterns of inhibitor selectivity across different activation states of Aurora A, with DFG-out inhibitors preferentially binding Aurora A activated by phosphorylation on the activation loop, which dynamically samples the DFG-out state, and DFG-in inhibitors binding preferentially to Aurora A constrained in the DFG-in state by its allosteric activator Tpx2. The results suggest that many inhibitors currently in clinical development may be capable of differentiating between Aurora A signaling pathways implicated in normal mitotic control and in melanoma, neuroblastoma, and prostate cancer. The technology is applicable to a wide range of clinically important kinases and could provide a wealth of valuable structure–activity information for the development of inhibitors that exploit differences in conformational dynamics to achieve enhanced selectivity.

Funder

HHS | NIH | National Cancer Institute

HHS | National Institutes of Health

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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