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A CoMFA study of COX-2 inhibitors with receptor based alignment
Prasanna A Datar1, Evans C Coutinho
1Department of Pharmaceutical Chemistry, Bombay College of Pharmacy, Kalina, Santacruz (E), Mumbai 400 098, India.
Journal of Molecular Graphics & Modelling
|November 9, 2004
Summary
This study developed two computational models for cyclooxygenase-2 (COX-2) inhibitors. Docking-based alignment yielded a superior model for predicting inhibitor activity and guiding drug design.
Area of Science:
- Medicinal Chemistry
- Computational Chemistry
- Drug Discovery
Background:
- Cyclooxygenase-2 (COX-2) inhibitors are crucial therapeutic agents.
- Understanding inhibitor-enzyme interactions is key for drug design.
Purpose of the Study:
- To develop and compare two quantitative structure-activity relationship (QSAR) models for COX-2 inhibitors.
- To utilize molecular docking to enhance predictive modeling and gain insights into binding interactions.
Main Methods:
- Comparative molecular field analysis (CoMFA) was applied to 53 COX-2 inhibitors.
- Two alignment strategies were employed: crystallographic data and molecular docking (DOCK, AFFINITY).
- Model performance was evaluated using statistical parameters (r², q²) and predictive ability on a test set.
Main Results:
- CoMFA Model 2, derived from docking, showed improved statistical parameters (r², q²) over Model 1 (crystallographic alignment).
- Both models demonstrated good predictive power for diverse molecules, with Model 2 achieving a higher predictive r² (0.768 vs. 0.593).
- Docking studies provided detailed insights into hydrogen-bonding interactions within the COX-2 active site.
Conclusions:
- Molecular docking offers a valuable approach for aligning inhibitors and improving QSAR model performance.
- The developed models and docking insights can guide the rational design of more potent COX-2 inhibitors.
- This study highlights the synergy between QSAR and molecular docking in drug discovery efforts.