Background and Objective: A large number of people are facing the danger of fatigue
due to the fast-paced lifestyle. Fatigue is common in some diseases, such as cancer. The
mechanism of fatigue is not definite. Traditional Chinese medicine is often used for fatigue, but the
potential mechanism of Polygonati Rhizoma (PR) is still not clear. This study attempts to explore
the potential anti-fatigue mechanism of Polygonati Rhizoma through virtual screening based on
Methods: The candidate compounds of PR and the known targets of fatigue are obtained from
multiple professional databases. PharmMapper Server is designed to identify potential targets for
the candidate compounds. We developed a Herbal medicine-Compound-Disease-Target network
and analyzed the interactions. Protein-protein interaction network is developed through the
Cytoscape software and analyzed by topological methods. Gene Ontology (GO) and Kyoto
Encyclopedia of Genes and Genomes (KEGG) pathway enrichment are carried out by DAVID
Database. Finally, we develop Compound-Target-Pathway network to illustrate the anti-fatigue
mechanism of PR.
Results: This approach identified 12 active compounds and 156 candidate targets of PR. The top
10 annotation terms for GO and KEGG were obtained by enrichment analysis with 35 key targets.
The interaction between E2F1 and PI3K-AKT plays a vital role in the anti-fatigue effect of PR due
to this study.
Conclusion: This study demonstrates that PR has multi-component, multi-target and multipathway