ArticleEvidence-based complementary and alternative medicine : eCAM2021
A Network Pharmacology Approach to Reveal the Underlying Mechanisms of
Article in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Antiproliferative activity, phytochemistry, network pharmacology, molecular docking and gene expression analysis of Maerua edulis extracts against human cervical cancer cell line.BMC complementary medicine and therapies · 2026Article
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- Jiao San Xian granule containing prebiotic alleviate functional dyspepsia by regulating intestinal flora and the secretion of inflammatory response.Journal of food and drug analysis · 2025Article
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- Green synthesis of Brassica carinata microgreen silver nanoparticles, characterization, safety assessment, and antimicrobial activities.Scientific reports · 2024Article
- Phytochemical analysis,Frontiers in pharmacology · 2024Article
- Computational biology and in vitro studies for anticipating cancer-related molecular targets of sweet wormwood (Artemisia annua).BMC complementary medicine and therapies · 2023Article
- Integrating Network Pharmacology and Bioinformatics to Explore the Effects of Dangshen (Drug design, development and therapy · 2023Article
- Integrated System Pharmacology Approaches to Elucidate Multi-Target Mechanism ofMolecules (Basel, Switzerland) · 2022Article
- Structural Characterization and In-Vitro Antioxidant and Immunomodulatory Activities of Polysaccharide Fractions Isolated fromMolecules (Basel, Switzerland) · 2022Article
- Through network pharmacology and molecular docking to explore the underlying mechanism ofFrontiers in physiology · 2022Article
- The Underlying Molecular Mechanisms Involved in Traditional Chinese MedicineEvidence-based complementary and alternative medicine : eCAM · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the potential active ingredients and underlying mechanisms of
methodsIn the present study, we used a network pharmacological method to predict its underlying complex mechanism of treating HCC. First, we obtained relative compounds of AA based on the traditional Chinese medicine systems pharmacology (TCMSP) database and collected potential targets of these compounds by target fishing. Then, we built HCC-related targets target by the oncogenomic database of hepatocellular carcinoma (OncoDB.HCC) and biopharmacological network (PharmDB-K) database. Based on the matching results between AA potential targets and HCC targets, we built a protein-protein interaction (PPI) network to analyze the interactions among these targets and screen the hub targets by topology. Furthermore, the function annotation and signaling pathways of key targets were performed by Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis using DAVID tools. Finally, the binding capacity between active ingredients and key targets was validated by molecular docking.
resultsA total of 19 main active ingredients of AA were screened as target prediction; then, 25 HCC-related common targets were seeked out via multiple HCC databases. The areas of nodes and corresponding degree values of EGFR, ESR1, CCND1, MYC, EGF, and PTGS2 were larger and could be easily found in the PPI network. Furthermore, GO and KEGG enrichment analysis showed that these key targets were significantly involved in multiple biological processes and pathways which participated in tumor cell proliferation, apoptosis, angiogenesis, tumor invasion, and metastasis to accomplish the anti-HCC activity. The molecular docking analysis showed that quercetin could stably bind to the active pocket of EGFR protein 4RJ5 via LibDock.
conclusionThe anticancer effects of AA on HCC were predicted to be associated with regulating tumor cell proliferation, apoptosis, angiogenesis, tumor invasion, and metastasis via various pathways such as the EGFR signaling pathway, ESR1 signaling pathway, and CCND1 signaling pathway. It is suggested that AA might be developed as a broad-spectrum antitumor drug based on its characteristics of multicomponent, multipath, and multitarget.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.