Discovery of novel inhibitors of Aurora kinases with indazole scaffold: In silico fragment-based and knowledge-based drug design

Eur J Med Chem. 2016 Nov 29:124:186-199. doi: 10.1016/j.ejmech.2016.08.026. Epub 2016 Aug 16.

Abstract

Aurora kinases have emerged as important anticancer targets so that there are several inhibitors have advanced into clinical study. Herein, we identified novel indazole derivatives as potent Aurora kinases inhibitors by utilizing in silico fragment-based approach and knowledge-based drug design. After intensive hit-to-lead optimization, compounds 17 (dual Aurora A and B), 21 (Aurora B selective) and 30 (Aurora A selective) possessed indazole privileged scaffold with different substituents, which provide sub-type kinase selectivity. Computational modeling helps in understanding that the isoform selectivity could be targeted specific residue in the Aurora kinase binding pocket in particular targeting residues Arg220, Thr217 or Glu177.

Keywords: Aurora kinases inhibitor; Indazole; Isoform selectivity; Ligand efficiency; Structure-activity relationship (SAR).

MeSH terms

  • Aurora Kinase A / antagonists & inhibitors*
  • Aurora Kinase A / chemistry
  • Cell Proliferation / drug effects
  • Computer Simulation*
  • Drug Design*
  • HCT116 Cells
  • Humans
  • Indazoles / chemistry*
  • Indazoles / pharmacology*
  • Molecular Docking Simulation
  • Protein Conformation
  • Protein Kinase Inhibitors / chemistry*
  • Protein Kinase Inhibitors / pharmacology*

Substances

  • Indazoles
  • Protein Kinase Inhibitors
  • Aurora Kinase A