PDEStrIAn: A Phosphodiesterase Structure and Ligand Interaction Annotated Database As a Tool for Structure-Based Drug
Chimed Jansen1, Albert J Kooistra1, Georgi K Kanev1
1Division of Medicinal Chemistry, Faculty of Sciences, Amsterdam Institute of Molecules, Medicines and Systems (AIMMS), Vrije Universiteit Amsterdam , De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands.
Journal of Medicinal Chemistry
|February 25, 2016
Summary
This study analyzed 220 phosphodiesterase (PDE) structures to understand PDE-ligand interactions. Findings reveal key interaction features for designing novel PDE-targeting drugs.
Area of Science:
- Structural biology
- Medicinal chemistry
- Drug discovery
Background:
- Phosphodiesterases (PDEs) are crucial drug targets.
- Understanding PDE-ligand interactions is vital for drug development.
- A large number of PDE crystal structures are available in the Protein Data Bank (PDB).
Purpose of the Study:
- To systematically analyze PDE catalytic domain crystal structures and PDE-ligand interactions.
- To identify subtype-specific interaction features and classify ligands based on binding modes.
- To provide insights for scaffold hopping and ligand design in drug discovery.
Main Methods:
- Systematic structural alignment of 220 PDE catalytic domain crystal structures from the PDB.
- Analysis of PDE-ligand interaction fingerprints (IFPs) using 57 conserved binding site residues.
- Substructure analysis of cocrystallized PDE ligands and ChEMBL database compounds.
Main Results:
- Identification of conserved and subtype-specific PDE-ligand interaction hot spots.
- Classification of ligands based on distinct binding modes within PDE catalytic domains.
- Development of a PDE structure and ligand interaction annotated (PDEStrIAn) database.
Conclusions:
- Systematic analysis of PDE structures and interactions provides valuable insights for drug design.
- Understanding conserved and selective interaction features aids in accommodating diverse chemical scaffolds.
- The findings offer a toolbox for scaffold hopping and improved PDE-targeted drug discovery.
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