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Binding Mode Analyses and Pharmacophore Model Development for Stilbene Derivatives as a Novel and Competitive Class of α-Glucosidase Inhibitors
- Source :
- PLoS ONE, PLoS ONE, Vol 9, Iss 1, p e85827 (2014)
- Publication Year :
- 2014
- Publisher :
- Public Library of Science (PLoS), 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.
- Subjects :
- Models, Molecular
Molecular model
Structure Prediction
Ligands
Molecular Dynamics
Biochemistry
Molecular Docking Simulation
Molecular dynamics
Computational Chemistry
Endocrinology
Protein structure
Stilbenes
Drug Discovery
Macromolecular Structure Analysis
Theoretical Pharmacology
Enzyme Inhibitors
Multidisciplinary
Hydrogen bond
Chemistry
Genomics
Enzymes
Thermodynamics
Medicine
Pharmacophore
Hydrophobic and Hydrophilic Interactions
Protein Binding
Research Article
Protein Structure
Drugs and Devices
Stereochemistry
Science
Molecular Sequence Data
Glutamic Acid
Saccharomyces cerevisiae
Molecular Dynamics Simulation
Inhibitory Concentration 50
Bacillus cereus
Glycoside Hydrolase Inhibitors
Pharmacokinetics
Amino Acid Sequence
Homology modeling
Biology
Diabetic Endocrinology
Reproducibility of Results
Computational Biology
Hydrogen Bonding
alpha-Glucosidases
Diabetes Mellitus Type 2
Kinetics
Pharmacodynamics
Structural Homology, Protein
Docking (molecular)
Enzyme Structure
Sequence Alignment
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....06899e4758ed77fae9dced114594d538
- Full Text :
- https://doi.org/10.1371/journal.pone.0085827