CODES, a novel procedure for ligand-based virtual screening: PDE7 inhibitors as an application example.

Area of Science:

• Medicinal Chemistry
• Computational Chemistry
• Pharmacology

Background:

• Phosphodiesterase (PDE) 7 is a cAMP-specific enzyme with a debated role in T-cells.
• PDE7's tissue distribution suggests potential therapeutic applications in airway diseases, T-cell disorders, and CNS conditions.
• Developing selective PDE7 inhibitors is a key research objective.

Purpose of the Study:

• To evaluate the utility of CODES-generated descriptors for ligand-based virtual screening.
• To identify novel, potent, and selective PDE7 inhibitors.

Main Methods:

• Utilized CODES program to generate topological descriptors for 173 compounds.
• Analyzed molecular similarity against a reference compound.
• Synthesized and biologically evaluated newly identified potential inhibitors.

Main Results:

• CODES descriptors successfully differentiated molecules, including stereoisomers.
• Identified and synthesized novel compounds with potential PDE7 inhibitory activity.
• Validated CODES descriptors as effective for virtual screening.

Conclusions:

• CODES descriptors are a valid tool for ligand-based virtual screening.
• This study provides new lead compounds for developing selective PDE7 inhibitors.
• Potential applications include treatment of airway, T-cell, and CNS disorders.