Computational Insights into Flavonoids for ADAMTS-5 Exosite Inhibition in Knee Osteoarthritis: Docking, MD...

Area of Science:

• Biochemistry
• Computational Chemistry
• Pharmacology

Background:

• Osteoarthritis (OA) pathogenesis involves aggrecan degradation mediated by ADAMTS-5.
• Current ADAMTS-5 inhibitors often lack selectivity, impacting aggrecan integrity.
• Targeting exosites offers a more specific inhibition strategy than catalytic-site inhibition.

Purpose of the Study:

• To identify plant-derived flavonoids that selectively inhibit ADAMTS-5 via exosite interactions.
• To find novel drug-like compounds for treating knee osteoarthritis with improved specificity.

Main Methods:

• In silico screening of 847 flavonoids using high-throughput virtual screening.
• Molecular docking and molecular dynamics simulations targeting ADAMTS-5 exosite domains.
• Drug-likeness, ADME criteria, and structure-activity relationship (SAR) analysis.

Main Results:

• Homoeriodictyol demonstrated the highest binding affinity to the ADAMTS-5 Disintegrin-like domain (-23.1 kcal/mol).
• Molecular dynamics simulations confirmed stable binding of Homoeriodictyol to ADAMTS-5.
• Key residues in the spacer domain involved in ligand binding were identified using a machine-learning model.

Conclusions:

• Homoeriodictyol is a promising candidate for selective ADAMTS-5 exosite inhibition.
• Exosite-targeted inhibition represents a viable strategy for developing novel osteoarthritis therapeutics.
• Computational approaches are effective for discovering targeted enzyme inhibitors.