Virtual screening of B-Raf kinase inhibitors: A combination of pharmacophore modelling, molecular docking, 3D-QSAR model and binding free energy calculation studies

Comput Biol Chem. 2017 Oct:70:186-190. doi: 10.1016/j.compbiolchem.2017.08.017. Epub 2017 Aug 31.

Abstract

B-Raf kinase has been identified as an important target in recent cancer treatment. In order to discover structurally diverse and novel B-Raf inhibitors (BRIs), a virtual screening of BRIs against ZINC database was performed by using a combination of pharmacophore modelling, molecular docking, 3D-QSAR model and binding free energy (ΔGbind) calculation studies in this work. After the virtual screening, six promising hit compounds were obtained, which were then tested for inhibitory activities of A375 cell lines. In the result, five hit compounds show good biological activities (IC50<50μM). The present method of virtual screening can be applied to find structurally diverse inhibitors, and the obtained five structurally diverse compounds are expected to develop novel BRIs.

Keywords: 3D QSAR; B-Raf kinase inhibitors; Binding free energy calculation; Molecular docking; Pharmacophore; Virtual screening.

MeSH terms

  • Algorithms*
  • Antineoplastic Agents / chemistry
  • Antineoplastic Agents / pharmacology*
  • Cell Line, Tumor
  • Cell Proliferation / drug effects
  • Drug Screening Assays, Antitumor*
  • Humans
  • Molecular Docking Simulation*
  • Molecular Structure
  • Protein Kinase Inhibitors / chemistry
  • Protein Kinase Inhibitors / pharmacology*
  • Proto-Oncogene Proteins B-raf / antagonists & inhibitors*
  • Proto-Oncogene Proteins B-raf / genetics
  • Proto-Oncogene Proteins B-raf / metabolism
  • Quantitative Structure-Activity Relationship*
  • Thermodynamics*

Substances

  • Antineoplastic Agents
  • Protein Kinase Inhibitors
  • Proto-Oncogene Proteins B-raf