Data mining historical Chinese medical recipe collections and nuclear receptor profiling identify plant fractions that modulate glucocorticoid receptor activity.
- DOI
- 10.3389/fphar.2025.1681729
- Published
- 2025
- Container
- Frontiers in pharmacology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fphar.2025.1681729,
title = {Data mining historical Chinese medical recipe collections and nuclear receptor profiling identify plant fractions that modulate glucocorticoid receptor activity.},
author = {Prackwieser J and Houtman R and Kievits T and Melchers D and Guan H and Seifert G and Konietschke F and Lamottke K and Unschuld PU and Kirk N},
year = {2025},
journal = {Frontiers in pharmacology},
doi = {10.3389/fphar.2025.1681729},
url = {https://doi.org/10.3389/fphar.2025.1681729}
}RIS
TY - JOUR TI - Data mining historical Chinese medical recipe collections and nuclear receptor profiling identify plant fractions that modulate glucocorticoid receptor activity. AU - Prackwieser J AU - Houtman R AU - Kievits T AU - Melchers D AU - Guan H AU - Seifert G AU - Konietschke F AU - Lamottke K AU - Unschuld PU AU - Kirk N PY - 2025 JO - Frontiers in pharmacology DO - 10.3389/fphar.2025.1681729 UR - https://doi.org/10.3389/fphar.2025.1681729 ER -
APA
J, P., R, H., T, K., D, M., H, G., G, S., F, K., K, L., PU, U., & N, K. (2025). Data mining historical Chinese medical recipe collections and nuclear receptor profiling identify plant fractions that modulate glucocorticoid receptor activity.. Frontiers in pharmacology. https://doi.org/10.3389/fphar.2025.1681729
Source records
- pubmed · retrieved 2026-09-26T21:44:45.066Z