Radix salviae miltiorrhizae (Danshen) is a perennial herb of the Lamiaceae family, widely used in Traditional Chinese Medicine due to its diverse pharmacological properties. R. salviae is one of the plants with a significant place in Traditional Chinese Medicine due to its pharmacological components. In this context, R. salviae, particularly in China and other Asian countries, has been widely used for centuries in the treatment of disorders such as Parkinson’s disease (PD); however, the active components and mechanisms beneficial in PD treatment remain unclear. The current study aims to explore the active components and molecular mechanisms of R. salviae against PD using network pharmacology and molecular docking analyses. For predicting the specific mechanism of R. salviae in PD treatment, the pharmacological components of the plant were identified using bioinformatics databases. Additionally, PD-related targets were selected using a network pharmacology analysis platform. As a result of the study, 13 key active components and 359 core targets of R. salviae were identified. R. salviae was found to share a common fundamental mechanism associated with PD. In the final stage of the network analysis, 10 potential targets were validated, and molecular docking analyses were performed between the top-scoring targets (AKT1, SRC, STAT3, CASP3, and EGFR) and the 13 components of R. salvia. To further support the docking results, 100 ns molecular dynamics simulations were conducted to evaluate the structural stability and dynamic behavior of the top ligand–target complexes. The results demonstrated that the selected active components of R. salviae may influence key genes in PD-related signaling pathways, thereby potentially contributing to PD treatment. These findings highlight the pharmacological potential of R. salviae in PD and may also guide the development of evidence-based complementary care strategies.
The study is complied with research and publication ethics
There is no organization that receives support.
| Primary Language | English |
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| Subjects | Biophysics, Natural Products and Bioactive Compounds, Biologically Active Molecules, Molecular Medicine |
| Journal Section | Research Article |
| Authors | |
| Submission Date | July 12, 2025 |
| Acceptance Date | November 27, 2025 |
| Publication Date | December 31, 2025 |
| DOI | https://doi.org/10.17798/bitlisfen.1740835 |
| IZ | https://izlik.org/JA75EA43LB |
| Published in Issue | Year 2025 Volume: 14 Issue: 4 |