Binding mode analyses and pharmacophore model development for stilbene derivatives as a novel and competitive class of α-glucosidase inhibitors

PLoS One. 2014 Jan 21;9(1):e85827. doi: 10.1371/journal.pone.0085827. eCollection 2014.

Abstract

Stilbene urea derivatives as a novel and competitive class of non-glycosidic α-glucosidase inhibitors are effective for the treatment of type II diabetes and obesity. The main purposes of our molecular modeling study are to explore the most suitable binding poses of stilbene derivatives with analyzing the binding affinity differences and finally to develop a pharmacophore model which would represents critical features responsible for α-glucosidase inhibitory activity. Three-dimensional structure of S. cerevisiae α-glucosidase was built by homology modeling method and the structure was used for the molecular docking study to find out the initial binding mode of compound 12, which is the most highly active one. The initial structure was subjected to molecular dynamics (MD) simulations for protein structure adjustment at compound 12-bound state. Based on the adjusted conformation, the more reasonable binding modes of the stilbene urea derivatives were obtained from molecular docking and MD simulations. The binding mode of the derivatives was validated by correlation analysis between experimental Ki value and interaction energy. Our results revealed that the binding modes of the potent inhibitors were engaged with important hydrogen bond, hydrophobic, and π-interactions. With the validated compound 12-bound structure obtained from combining approach of docking and MD simulation, a proper four featured pharmacophore model was generated. It was also validated by comparison of fit values with the Ki values. Thus, these results will be helpful for understanding the relationship between binding mode and bioactivity and for designing better inhibitors from stilbene derivatives.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Amino Acid Sequence
  • Bacillus cereus / enzymology
  • Enzyme Inhibitors / chemistry
  • Enzyme Inhibitors / pharmacology*
  • Glutamic Acid / chemistry
  • Glycoside Hydrolase Inhibitors*
  • Hydrogen Bonding / drug effects
  • Hydrophobic and Hydrophilic Interactions / drug effects
  • Inhibitory Concentration 50
  • Kinetics
  • Ligands
  • Models, Molecular*
  • Molecular Docking Simulation
  • Molecular Dynamics Simulation
  • Molecular Sequence Data
  • Protein Binding / drug effects
  • Reproducibility of Results
  • Saccharomyces cerevisiae / enzymology
  • Sequence Alignment
  • Stilbenes / chemistry
  • Stilbenes / pharmacology*
  • Structural Homology, Protein
  • Thermodynamics
  • alpha-Glucosidases / chemistry
  • alpha-Glucosidases / metabolism

Substances

  • Enzyme Inhibitors
  • Glycoside Hydrolase Inhibitors
  • Ligands
  • Stilbenes
  • Glutamic Acid
  • alpha-Glucosidases

Grants and funding

This work was supported by National Research Foundation of Korea (NRF) Grant funded by the Korean Government (NRF-2012-Fostering Core Leaders of the Future Basic Science Program). This research was supported by Basic Science Research Program (2012R1A1A4A01013657), Pioneer Research Center Program (2009-0081539), and Management of Climate Change Program (2010-0029084) through the NRF funded by the Ministry of Education, Science and Technology (MEST) of Republic of Korea. And this work was also supported by the Next-Generation BioGreen 21 Program (PJ009486) from Rural Development Administration (RDA) of Republic of Korea. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.