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Modeling aided design of potent glycogen phosphorylase inhibitors
- Source :
- Journal of molecular graphicsmodelling. 23(5)
- Publication Year :
- 2004
-
Abstract
- Molecular modeling has been used to assist in the development of a novel series of potent glycogen phosphorylase inhibitors based on a phenyl diacid lead, compound 1. In the absence of suitable competitive binding assays, compound 1 was predicted to bind at the AMP allosteric site based on superposition onto known inhibitors which bind at different sites in the enzyme and analyses of the surrounding protein environment associated with these distinct sites. Possible docking modes of compound 1 at the AMP allosteric site were further explored using the crystal structure of rabbit muscle glycogen phosphorylase complexed with a Bayer diacid compound W1807 (PDB entry 3AMV). Compound 1 was predicted to interact with positively charged arginines at the AMP allosteric site in the docking model. Characterization of the binding pocket by a grid-based surface calculation of the docking model revealed a large unfilled hydrophobic region near the central phenyl ring, suggesting that compounds with larger hydrophobic groups in this region would improve binding. A series of naphthyl diacid compounds were designed and synthesized to access this hydrophobic cleft, and showed significantly improved potency.
- Subjects :
- Adenosine monophosphate
Molecular model
Stereochemistry
Allosteric regulation
Protein Data Bank (RCSB PDB)
In Vitro Techniques
Glycogen Phosphorylase, Liver Form
chemistry.chemical_compound
Glycogen phosphorylase
Materials Chemistry
Organometallic Compounds
Molecule
Humans
Physical and Theoretical Chemistry
Enzyme Inhibitors
Spectroscopy
chemistry.chemical_classification
Molecular Structure
Glycogen Phosphorylase
Computer Graphics and Computer-Aided Design
Adenosine Monophosphate
Recombinant Proteins
Enzyme
chemistry
Lead
Models, Chemical
Docking (molecular)
Drug Design
Computer-Aided Design
Glycogen Phosphorylase, Muscle Form
Thermodynamics
Allosteric Site
Subjects
Details
- ISSN :
- 10933263
- Volume :
- 23
- Issue :
- 5
- Database :
- OpenAIRE
- Journal :
- Journal of molecular graphicsmodelling
- Accession number :
- edsair.doi.dedup.....98eaa9783cf831d5adf4b42bb98bc62c