Integrated Network Pharmacology and Machine Learning to Reveal the Mechanisms of Schisandrin A Against Triple-Negative Breast Cancer - PubMed
4 hours ago
- #network pharmacology
- #machine learning
- #triple-negative breast cancer
- Integrated network pharmacology and machine learning identified 128 targets overlapping between Schisandrin A and triple-negative breast cancer (TNBC), with 36 core targets.
- Four prognosis-related core targets (GSK3B, IDO1, KDR, PKM) were identified, and their predictive model was validated; molecular docking showed high binding affinity with IDO1 and PKM.
- In vitro experiments showed Schisandrin A inhibited MDA-MB-231 cell proliferation, induced apoptosis, caused S-phase cell cycle arrest, and affected cell cycle and DNA replication pathways.