A computational model for overcoming drug resistance using selective dual-inhibitors for aurora kinase A and its T217D variant

Mol Pharm. 2013 Dec 2;10(12):4572-89. doi: 10.1021/mp4003893. Epub 2013 Nov 5.

Abstract

The human Aurora kinase-A (AK-A) is an essential mitotic regulator that is frequently overexpressed in several cancers. The recent development of several novel AK-A inhibitors has been driven by the well-established association of this target with cancer development and progression. However, resistance and cross-reactivity with similar kinases demands an improvement in our understanding of key molecular interactions between the Aurora kinase-A substrate binding pocket and potential inhibitors. Here, we describe the implementation of state-of-the-art virtual screening techniques to discover a novel set of Aurora kinase-A ligands that are predicted to strongly bind not only to the wild type protein, but also to the T217D mutation that exhibits resistance to existing inhibitors. Furthermore, a subset of these computationally screened ligands was shown to be more selective toward the mutant variant over the wild type protein. The description of these selective subsets of ligands provides a unique pharmacological tool for the design of new drug regimens aimed at overcoming both kinase cross-reactivity and drug resistance associated with the Aurora kinase-A T217D mutation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aurora Kinase A / antagonists & inhibitors*
  • Aurora Kinase A / genetics*
  • Computer Simulation
  • Drug Resistance / drug effects*
  • Humans
  • Ligands
  • Mutation / genetics*
  • Protein Kinase Inhibitors / chemistry*

Substances

  • Ligands
  • Protein Kinase Inhibitors
  • Aurora Kinase A