Selection of cyclic-peptide inhibitors targeting Aurora kinase A: problems and solutions

Carolyn D Shomin1, Elizabeth Restituyo, Kurt J Cox

  • 1Department of Chemistry and Biochemistry, University of Arizona, Tucson, AZ 85721, USA.

Insights

Researchers developed a novel method to identify cyclic peptides targeting Aurora kinase A. This approach successfully identified inhibitors that bind to sites beyond the active site, offering new therapeutic strategies for cancer.

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Pharmacology

Background:

  • Aurora kinase plays a critical role in cell cycle regulation.
  • Dysregulation of Aurora kinase is implicated in cancer development.
  • Current Aurora kinase inhibitors primarily target the ATP-binding site, leading to polypharmacology.

Purpose of the Study:

  • To develop a novel strategy for targeting Aurora kinase at sites remote from the ATP-binding active site.
  • To identify cyclic peptide inhibitors of Aurora kinase A using a bivalent selection approach.
  • To explore alternative inhibition mechanisms for Aurora kinase.

Main Methods:

  • Adaptation of a bivalent selection strategy, initially developed for PKA, to Aurora kinase A.
  • Optimization of selection conditions to mitigate background binding to the streptavidin matrix.
  • Characterization of selected cyclic peptide inhibitors, including IC50 determination and mode of inhibition analysis.

Main Results:

  • Successfully selected several cyclic peptide ligands against Aurora kinase A.
  • Two inhibitors demonstrated IC50 values in the micromolar range.
  • One identified peptide, CTRPWWLC, exhibited noncompetitive inhibition, suggesting allosteric targeting.

Conclusions:

  • The developed bivalent selection strategy is effective for identifying allosteric inhibitors of Aurora kinase A.
  • Targeting sites remote from the active site offers a promising avenue for developing novel kinase inhibitors.
  • These findings provide new pharmacological tools for dissecting Aurora kinase biology and may lead to improved cancer therapeutics.

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