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Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
A perspective on quantitative structure-activity relationships and carbonic anhydrase inhibitors
Brian W Clare1, Claudiu T Supuran
1University of Western Australia, School of Biomedical and Chemical Science, Crawley, WA 6009, Australia. bwc@theochem.uwa.edu.au
Carbonic anhydrases (CAs) are enzymes with crucial roles in physiology and disease, including cancer. This review focuses on quantitative structure-activity relationship (QSAR) studies using physical and quantum descriptors for CA inhibitors.
Area of Science:
- Biochemistry and Medicinal Chemistry
- Enzymology
- Pharmacology
Background:
- Carbonic anhydrases (CAs) are a family of enzymes with diverse physiological and pathophysiological roles.
- CA inhibitors, particularly sulfonamides, are clinically used for glaucoma and neuromuscular disorders.
- Emerging research highlights the involvement of CAs and their inhibitors in cancer therapy.
Purpose of the Study:
- To review quantitative structure-activity relationship (QSAR) studies of carbonic anhydrase inhibitors.
- To focus on the application of physical and quantum theoretical descriptors in QSAR for CA inhibitors.
- To explore the potential of CA inhibitors as anticancer agents.
Main Methods:
- Review of literature on carbonic anhydrase inhibitors and QSAR studies.
- Analysis of physical descriptors (e.g., partition coefficients, Hammett constants).
- Analysis of quantum theoretical descriptors (e.g., orbital energies, atomic charges, polarizabilities).
Main Results:
- Detailed understanding of CA catalytic and inhibition mechanisms aids inhibitor design.
- Sulfonamide-based CA inhibitors show promise as novel anticancer therapies.
- QSAR studies utilize various descriptors to correlate chemical structure with biological activity.
Conclusions:
- Carbonic anhydrase inhibitors represent a promising avenue for cancer treatment.
- Physical and quantum descriptors are valuable tools in developing potent and selective CA inhibitors.
- Further QSAR investigations can accelerate the discovery of new therapeutic agents targeting CAs.
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