Related Experiment Video
Updated: Jan 18, 2026

Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
Published on: March 3, 2023
Identifying the potential anti-lung cancer targets of Baicalein using a network pharmacology approach
Xiaoping Chen1, Kehan Chen1, Xingxing Ma1
1Center for Medical Research, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, 537000, Guangxi, China.
Abstract:
Background Lung cancer remains the deadliest malignancy globally. Although therapies, including immune checkpoint inhibitors and targeted therapy, have gradually prolonged overall survival, resistance and relapse still plague clinical management. Baicalein, a naturally derived compound exhibiting potent antitumor and anti-inflammatory properties, is widely regarded as a promising candidate for the development of anticancer therapeutic agents. Nevertheless, its mechanism of action in lung cancer remains unclear. Objective This study aims to elucidate the multi-target pharmacological mechanism by which Baicalein acts in lung cancer treatment, utilizing network pharmacology, immune infiltration analysis, molecular docking, and molecular dynamics simulation. Methods Using the TCMSP, Swiss Target Prediction, and Pharm Mapper databases, we identified the relevant targets of Baicalein. Meanwhile, lung cancer-associated targets were retrieved from the GeneCards database. The targets were obtained by taking the intersection of these two sets. A protein-protein interaction (PPI) network was then constructed using Cytoscape. Furthermore, the influence of these core targets to the tumor immune microenvironment was investigated via immune infiltration analysis. Finally, we employed molecular docking to evaluate the binding affinity between Baicalein and targets, followed by molecular dynamics simulations to confirm the stability of these interactions. Results A total of 92 potential targets of Baicalein for lung cancer were identified. Five core targets, including TP53, AKT1, MAPK3, BCL2, and EGFR, were determined based on the connectivity characteristics of the PPI network. These core targets were significantly enriched in the PI3K-AKT signaling pathway. Molecular dynamics simulations displayed that the binding free energy of the AKT1-baicalein complex was - 199.8 kJ/mol. Energy decomposition analysis suggested that complex stabilization is primarily driven by shape complementarity and hydrophobic effects, rather than conventional hydrogen bonding or salt bridges. Conclusion This study reveals that the antitumor activity of Baicalein is mediated through its multi-target action on core components of the PI3K-AKT pathway, thereby offering novel insights for exploring its therapeutic targets.
Insights
Baicalein shows anticancer effects in lung cancer by targeting key proteins in the PI3K-AKT pathway. This study clarifies its multi-target mechanism, offering new therapeutic insights for lung cancer treatment.
Area of Science:
- Pharmacology
- Oncology
- Computational Biology
Background:
- Lung cancer is a leading cause of cancer mortality worldwide.
- Current therapies like immune checkpoint inhibitors and targeted therapies improve survival but face resistance and relapse.
- Baicalein, a natural compound, has shown antitumor potential, but its mechanism in lung cancer is not fully understood.
Purpose of the Study:
- To elucidate the multi-target pharmacological mechanism of Baicalein in lung cancer treatment.
- To identify key targets and pathways affected by Baicalein using network pharmacology and computational methods.
Main Methods:
- Utilized databases (TCMSP, Swiss Target Prediction, Pharm Mapper, GeneCards) to identify Baicalein and lung cancer targets.
- Constructed a protein-protein interaction network using Cytoscape.
- Performed immune infiltration analysis, molecular docking, and molecular dynamics simulations.
Main Results:
- Identified 92 potential targets for Baicalein in lung cancer.
- Determined five core targets: TP53, AKT1, MAPK3, BCL2, and EGFR, primarily involved in the PI3K-AKT signaling pathway.
- Molecular dynamics simulations confirmed stable binding of Baicalein to AKT1, driven by hydrophobic interactions.
Conclusions:
- Baicalein exerts antitumor effects in lung cancer through multi-target action on the PI3K-AKT pathway.
- This study provides novel insights into Baicalein's therapeutic targets for lung cancer.