Data mining historical Chinese medical recipe collections and nuclear receptor profiling identify plant fractions that modulate glucocorticoid receptor activity
This study illustrates how combining data mining of historical pharmaceutical recipes with molecular screening can accelerate the discovery of new and possibly safer GR modulators. Such approaches may inform future translational strategies for treating chronic inflammatory diseases.
Authors
- Paul U. Unschuld
- Diana Melchers (ORCID: https://orcid.org/0000-0002-2030-7152)
- Kai Lamottke (ORCID: https://orcid.org/0000-0002-3265-1057)
- René Houtman (ORCID: https://orcid.org/0000-0001-7639-6310)
- Haifeng Guan
- Georg Seifert (ORCID: https://orcid.org/0000-0002-7109-9277)
- Frank Konietschke
- Joachim Prackwieser
- Nalini Kirk
- Tim Kievits
Institutions
- Humboldt-Universität zu Berlin (DE)
- Shanghai CASB Biotechnology (China) (CN)
- Zimmer Biomet (Germany) (DE)
- IBS Precision Engineering (Netherlands) (NL)
- Urologische Klinik München (DE)
- Freie Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2026-01-07
- DOI
- https://doi.org/10.3389/fphar.2025.1681729
- Primary Topic
- Traditional Chinese Medicine Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Bundesministerium für Bildung und Forschung
- Centre for Hip Health and Mobility