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Three-dimensional quantitative structure-activity relationship analyses of piperidine-based CCR5 receptor antagonists
Minghu Song1, Curt M Breneman, N Sukumar
1Department of Chemistry, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA.
Bioorganic & Medicinal Chemistry
|January 16, 2004
Summary
This study uses 3D-QSAR models, Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA), to investigate CCR5 antagonists for HIV treatment. The models successfully identified key structural features for CCR5 receptor interaction.
Area of Science:
- Medicinal Chemistry
- Computational Biology
- Virology
Background:
- The CCR5 chemokine receptor is a critical target for anti-HIV therapeutics due to its role in viral entry.
- Lack of CCR5 crystal structure data hinders structure-based drug design.
Purpose of the Study:
- To compare 3D-QSAR methods (CoMFA and CoMSIA) for designing CCR5 antagonists.
- To investigate the interaction between piperidine-based CCR5 antagonists and their receptor.
Main Methods:
- Utilized Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA).
- Employed atomic/centroid RMS fit and rigid body field fit for antagonist structure superimposition.
- Developed 3D-QSAR models using a training set of 72 compounds and validated with 19 test compounds.
Main Results:
- Both CoMFA and CoMSIA models demonstrated predictive capabilities for CCR5 antagonist activity.
- Generated contour maps identified crucial structural features influencing biological activity.
- High internal consistency was observed in the interaction-field contour maps.
Conclusions:
- 3D-QSAR, specifically CoMFA and CoMSIA, offers a viable alternative for studying CCR5 antagonist-receptor interactions.
- The identified structural features can guide the development of novel CCR5 antagonists for HIV therapy.