Ligand-based modeling of Akt3 lead to potent dual Akt1/Akt3 inhibitor

J Mol Graph Model. 2018 Aug:83:153-166. doi: 10.1016/j.jmgm.2018.02.001. Epub 2018 Feb 13.

Abstract

Akt1 and Akt3 are important serine/threonine-specific protein kinases involved in G2 phase required by cancer cells to maintain cell cycle and to prevent cell death. Accordingly, inhibitors of these kinases should have potent anti-cancer properties. This prompted us to use pharmacophore/QSAR modeling to identify optimal binding models and physicochemical descriptors that explain bioactivity variation within a set of 74 diverse Akt3 inhibitors. Two successful orthogonal pharmacophores were identified and further validated using receiver operating characteristic (ROC) curve analyses. The pharmacophoric models and associated QSAR equation were applied to screen the national cancer institute (NCI) list of compounds for new Akt3 inhibitors. Six hits showed significant experimental anti-Akt3 IC50 values, out of which one compound exhibited dual low micromolar anti-Akt1 and anti-Akt3 inhibitory profiles.

Keywords: Akt1; Akt3; Anticancer; Dual inhibitors; Ligand based analysis.

MeSH terms

  • Antineoplastic Agents / chemistry*
  • Antineoplastic Agents / pharmacology
  • Area Under Curve
  • Drug Discovery
  • Enzyme Inhibitors / chemistry*
  • Enzyme Inhibitors / pharmacology
  • Hydrogen Bonding
  • Ligands
  • Molecular Conformation
  • Molecular Docking Simulation*
  • Molecular Dynamics Simulation*
  • Molecular Structure
  • Proto-Oncogene Proteins c-akt / antagonists & inhibitors
  • Proto-Oncogene Proteins c-akt / chemistry*
  • Quantitative Structure-Activity Relationship
  • ROC Curve

Substances

  • Antineoplastic Agents
  • Enzyme Inhibitors
  • Ligands
  • AKT1 protein, human
  • AKT3 protein, human
  • Proto-Oncogene Proteins c-akt