Discovery of FIXa inhibitors by combination of pharmacophore modeling, molecular docking, and 3D-QSAR modeling

J Recept Signal Transduct Res. 2018 Jun;38(3):213-224. doi: 10.1080/10799893.2018.1468784. Epub 2018 May 4.

Abstract

Human Coagulation Factor IXa (FIXa), specifically inhibited at the initiation stage of the blood coagulation cascade, is an excellent target for developing selective and safe anticoagulants. To explore this inhibitory mechanism, 86 FIXa inhibitors were selected to generate pharmacophore models and subsequently SAR models. Both best pharmacophore model and ROC curve were built through the Receptor-Ligand Pharmacophore Generation module. CoMFA model based on molecular docking and PLS factor analysis methods were developed. Model propagations values are q2 = 0.709, r2 = 0.949, and r2pred = 0.905. The satisfactory q2 value of 0.609, r2 value of 0.962, and r2pred value of 0.819 for CoMSIA indicated that the CoMFA and CoMSIA models are both available to predict the inhibitory activity on FIXa. On the basis of pharmacophore modeling, molecular docking, and 3D-QSAR modeling screening, six molecules are screened as potential FIXa inhibitors.

Keywords: 3D-QSAR; FIXa; Pharmacophore; antithrombotic; molecular docking.

MeSH terms

  • Blood Coagulation / drug effects
  • Drug Design*
  • Factor IXa / antagonists & inhibitors
  • Factor IXa / chemistry*
  • Fibrinolytic Agents / chemistry*
  • Fibrinolytic Agents / therapeutic use
  • Humans
  • Hydrophobic and Hydrophilic Interactions / drug effects
  • Models, Molecular
  • Molecular Docking Simulation
  • Protein Binding / drug effects
  • Quantitative Structure-Activity Relationship
  • Thrombosis / drug therapy*
  • Thrombosis / genetics
  • Thrombosis / pathology

Substances

  • Fibrinolytic Agents
  • Factor IXa