Combining molecular dynamics simulation and ligand-receptor contacts analysis as a new approach for pharmacophore modeling: beta-secretase 1 and check point kinase 1 as case studies

J Comput Aided Mol Des. 2016 Dec;30(12):1149-1163. doi: 10.1007/s10822-016-9984-2. Epub 2016 Oct 8.

Abstract

Ligand-based pharmacophore modeling require relatively long lists of active compounds, while a pharmacophore based on a single ligand-receptor crystallographic structure is often promiscuous. These problems prompted us to combine molecular dynamics (MD) simulation with ligand-receptor contacts analysis as means to develop valid pharmacophore model(s). The particular ligand-receptor complex is allowed to perturb over a few nano-seconds using MD simulation. Subsequently, ligand-receptor contact points (≤2.5 Å) are identified. Ligand-receptor contacts maintained above certain threshold during molecular dynamics simulation are considered critical and used to guide pharmacophore development. We termed this method as Molecular-Dynamics Based Ligand-Receptor Contact Analysis. We implemented this new methodology to develop valid pharmacophore models for check point kinase 1 (Chk1) and beta-secretase 1 (BACE1) inhibitors as case studies. The resulting pharmacophore models were validated by receiver operating characteristic curved analysis against inhibitors obtained from CHEMBL database.

Keywords: Chk1; Ligand receptor contact analysis; Molecular dynamics simulation; Pharmacophore.

Publication types

  • Validation Study

MeSH terms

  • Amyloid Precursor Protein Secretases / antagonists & inhibitors
  • Amyloid Precursor Protein Secretases / chemistry*
  • Checkpoint Kinase 1 / antagonists & inhibitors
  • Checkpoint Kinase 1 / chemistry*
  • Drug Design
  • Humans
  • Hydrogen Bonding
  • Ligands
  • Molecular Dynamics Simulation
  • Protein Binding
  • Protein Conformation
  • Quantitative Structure-Activity Relationship
  • ROC Curve
  • Small Molecule Libraries / chemistry

Substances

  • Ligands
  • Small Molecule Libraries
  • Checkpoint Kinase 1
  • Amyloid Precursor Protein Secretases