other·ophthalmology, ocular immunology, preclinical research, biomedical research, research methods·PMC10470687
Identification of the key mechanisms of action of Si-Ni-San in uveitis using bioinformatics and network pharmacology
Medicine · 7 authors, 5 centres
AI SUMMARY
FIDELITY 100%
This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.
This computational study used network pharmacology and molecular docking to predict that Si-Ni-San (SNS) may treat uveitis through multi-component, multi-target synergistic action involving the bioactive compounds kaempferol, luteolin, quercetin, and naringin acting on core targets JUN, RELA, and MAPK1.
Full summary
662 CHARS
This in silico study used network pharmacology and molecular docking to investigate mechanisms of Si-Ni-San (SNS) in treating uveitis. Active components and predicted targets were mined through TCMSP, DrugBank, GEO, and GeneCards databases. A protein-protein interaction network of SNS-uveitis intersection genes yielded 170 nodes and 414 edges. Molecular docking of core targets (JUN, RELA/MAPK1) with four bioactive compounds showed favorable binding energies ranging from -7.4 to -8.8 kcal/mol. These findings provide reference-level predictions suggesting SNS may regulate immune and inflammatory pathways in uveitis, but experimental confirmation is needed.