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Discovery of PRMT5 Inhibitors from Semiliquidambar Cathayensis Chang Using Computational and Bioactivity Evaluation
Dabo Pan1,2, Dewen Jiang2, Yaxuan Huang2
1School of Pharmacy, Center for Biomedical Innovation and Technology, Puai Medical School, Shaoyang University, Shaoyang, 422000, China.
Current Medicinal Chemistry
|August 11, 2026
Summary
Researchers identified two protein arginine methyltransferase 5 (PRMT5) inhibitors, quercetin and (+)-catechin, from Semiliquidambar cathayensis Chang. This discovery offers potential new strategies for treating diseases like cancer.
Area of Science:
- Natural Product Chemistry
- Computational Chemistry
- Biochemistry
Background:
- Protein arginine methyltransferase 5 (PRMT5) is implicated in various diseases, including cancer.
- Inhibiting PRMT5 activity is a therapeutic strategy for disease management.
Purpose of the Study:
- To identify PRMT5 inhibitors from the chemical constituents of Semiliquidambar cathayensis Chang.
- To explore natural products as a source for novel therapeutic agents.
Main Methods:
- Literature review to identify 101 chemical constituents of S. cathayensis Chang.
- Molecular docking and PRMT5 enzyme assays to screen for inhibitors.
- Molecular dynamics simulations to analyze inhibitor-PRMT5 interactions.
Main Results:
- Two PRMT5 inhibitors, (+)-catechin (13.33 ± 2.84 μM) and quercetin (0.85 ± 0.24 μM), were identified.
- Key amino acid residues (PHE327, GLU435, TRP579) were found to be crucial for binding free energy.
- The study demonstrated an effective computational approach for rapid natural product drug discovery.
Conclusions:
- Quercetin and (+)-catechin show significant potential for further development as PRMT5 inhibitors.
- The integrated computational and bioactivity evaluation strategy is effective for discovering natural product-derived inhibitors.
- This approach aids in identifying active compounds from diverse natural product structures.
Keywords:
(+)-catechinPRMT5-targeted compoundSemiliquidambar cathayensis changmolecular dockingmolecular dynamics simulationquercetin
