Network pharmacology
Cross-source consensus on Network pharmacology from 1 sources and 4 claims.
1 sources · 4 claims
Uses
How it works
Comparisons
Highlighted claims
- The compound-target and HeLa-target intersection produced 62 common targets. — In silico study on the cytotoxicity against Hela cancer cells of xanthones bioactive compounds from Garcinia cowa: QSAR based on Graph Deep Learning, Network Pharmacology, and Molecular Docking
- Network pharmacology was used to identify likely active compounds and target proteins. — In silico study on the cytotoxicity against Hela cancer cells of xanthones bioactive compounds from Garcinia cowa: QSAR based on Graph Deep Learning, Network Pharmacology, and Molecular Docking
- STRING protein-protein interaction analysis prioritized TNF, CTNNB1, SRC, NFKB1, and MTOR as central targets. — In silico study on the cytotoxicity against Hela cancer cells of xanthones bioactive compounds from Garcinia cowa: QSAR based on Graph Deep Learning, Network Pharmacology, and Molecular Docking
- Network analysis connected prioritized xanthones to pathways involving apoptosis regulation, inflammatory signaling, Wnt/beta-catenin signaling, NF-kappaB signaling, mTOR complexes, and cancer-related enrichment. — In silico study on the cytotoxicity against Hela cancer cells of xanthones bioactive compounds from Garcinia cowa: QSAR based on Graph Deep Learning, Network Pharmacology, and Molecular Docking