International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 282, P. 137090 - 137090
Published: Oct. 31, 2024
Language: Английский
International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 282, P. 137090 - 137090
Published: Oct. 31, 2024
Language: Английский
International Journal of Biological Macromolecules, Journal Year: 2024, Volume and Issue: 281, P. 136472 - 136472
Published: Oct. 15, 2024
Language: Английский
Citations
26Phytomedicine, Journal Year: 2025, Volume and Issue: unknown, P. 156436 - 156436
Published: Jan. 1, 2025
Language: Английский
Citations
4Journal of Ethnopharmacology, Journal Year: 2024, Volume and Issue: 340, P. 119200 - 119200
Published: Dec. 3, 2024
Language: Английский
Citations
11Microchemical Journal, Journal Year: 2024, Volume and Issue: 201, P. 110646 - 110646
Published: April 28, 2024
Language: Английский
Citations
8International Immunopharmacology, Journal Year: 2025, Volume and Issue: 147, P. 113935 - 113935
Published: Jan. 5, 2025
Language: Английский
Citations
1Frontiers in Pharmacology, Journal Year: 2025, Volume and Issue: 15
Published: Jan. 7, 2025
The Prunella vulgaris L. (PVL) and Taraxacum mongolicum Hand.-Mazz. (TH) herb pair, which is commonly used in traditional Chinese medicine (TCM), has been applied for the treatment of breast cancer. Although its efficacy validated, synergistic anti-breast cancer compound combinations within this pair their underlying mechanisms action remain unclear. This study aimed to identify validate PVL-TH using large-scale biomedical data, artificial intelligence experimental methods. first step was investigate effects various PVL TH extracts vitro cellular assays most effective superior extracts. These were subjected liquid chromatography-mass spectrometry (LC-MS) analysis constituent compounds. A deep learning-based prediction model, DeepMDS, predict multi-compound combinations. predicted experimentally validated at actual content ratios found Preliminary bioinformatics analyses conducted explore these We also compared from different geographical origins analyzed contents compounds assess representation anti-tumor effect corresponding TCM. results revealed that LC-MS identified 27 21 (50% ethanol extracts) TH, respectively. Based on compounds, DeepMDS model such as F973 (caffeic acid, rosmarinic p-coumaric esculetin), T271 (chlorogenic cichoric caffeic acid), T1685 scopoletin) single PVL, combinations, concentrations extracts, demonstrated activity could regulate tumor-related pathways synergistically, inhibiting tumor cell growth, inducing apoptosis, blocking cycle progression. Furthermore, concentration ratio total closely associated with origins. combination represent pair. provides insights into exploring representative complex
Language: Английский
Citations
1Journal of Ethnopharmacology, Journal Year: 2025, Volume and Issue: unknown, P. 119363 - 119363
Published: Jan. 1, 2025
Language: Английский
Citations
1International Immunopharmacology, Journal Year: 2025, Volume and Issue: 147, P. 114044 - 114044
Published: Jan. 9, 2025
Language: Английский
Citations
0Journal of Ethnopharmacology, Journal Year: 2025, Volume and Issue: 342, P. 119362 - 119362
Published: Jan. 17, 2025
Language: Английский
Citations
0Pharmacological Research - Natural Products, Journal Year: 2025, Volume and Issue: 6, P. 100155 - 100155
Published: Jan. 31, 2025
Language: Английский
Citations
0