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Published on 15 October 2024
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Song,H.;Li,G. (2024). Exploring the antitumor mechanisms of quercetin and kaempferol from Traditional Chinese Medicine against lung cancer through network pharmacology and molecular docking. Journal of Food Science, Nutrition and Health,3,7-11.
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Exploring the antitumor mechanisms of quercetin and kaempferol from Traditional Chinese Medicine against lung cancer through network pharmacology and molecular docking

Haibing Song *,1, Guangzhen Li 2
  • 1 Beijing Jinglai Huake Biotechnology Co., Ltd.
  • 2 The University of Queensland

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/3029-0821/3/2024020

Abstract

Although the two compounds quercetin and kaempferol components of TCM were verified as useful anticancer compounds, their molecular mechanisms are not well discussed. The present work aims to demystify the antitumor mechanisms of TCM compounds. Therefore, network pharmacology and pharmacophore screening were adopted with molecular docking to identify the bioactive compounds possessing excellent oral bioavailability and drug-likeness. The method of pharmacophore screening was then employed to examine molecular interactions occurred between the compounds and targets. The gene-disease associations were collected from the DisGeNET database. The STRING database was utilized to cluster overlapping targets. The key targets were identified, and molecular docking with quercetin and kaempferol was performed against these targets to further characterize drug binding affinities, which verified strong binding affinities comparable with the known anticancer drugs. The multitarget inhibitor was identified and exerted a powerful inhibitory effect on tumor cells, as demonstrated by the CCK-8 assay. Quercetin and kaempferol components derived from TCM with good oral bioavailability and drug-likeness held promise for effective antitumor treatment, especially for tumors resistant to other treatment.

Keywords

Traditional Chinese Medicine, network pharmacology, molecular docking, tumor, PPI network

[1]. Moreira, J., Shen, S., Chen, C., Xiang, W., Luo, J., & Han, Y. (2023). The neuroprotective effect of traditional Chinese medicinal plants—A critical review. Acta Pharmaceutica Sinica B, 13(8), 3208-3237.

[2]. Cao, M., Zhou, J., Zhu, X., Liu, X., Zhang, L., Luo, J., & Zhang, J. (2023). Ligustri Lucidi Fructus, a traditional Chinese medicine: Comprehensive review of botany, traditional uses, chemical composition, pharmacology, and toxicity. Journal of Ethnopharmacology, 301, 115789.

[3]. Noor, F., Mohan, A., Pillai, S., Perez, R. N., Ismail, I. I., & Govindarajan, V. (2023). Machine learning for synergistic network pharmacology: A comprehensive overview. Briefings in Bioinformatics, 24(3), bbad120.

[4]. Qayoom, H., Fazili, N. A., Shams, R., Rather, M. A., & Gupta, P. (2023). A network pharmacology-based investigation of brugine reveals its multi-target molecular mechanism against breast cancer. Medical Oncology, 40(7), 202.

[5]. Kumar, S., Goyal, P., Sharma, P., & Mishra, A. (2023). Integrated network pharmacology and in-silico approaches to decipher the pharmacological mechanism of Selaginella tamariscina in the treatment of non-small cell lung cancer. Phytomedicine Plus, 3(2), 100419.

[6]. Sadaqat, M., Imran, M., Khalid, M. F., Gulzar, R., Bukhari, S. A., Ahmad, S., & Shah, F. U. (2023). Advanced network pharmacology study reveals multi-pathway and multi-gene regulatory molecular mechanism of Bacopa monnieri in liver cancer based on data mining, molecular modeling, and microarray data analysis. Computers in Biology and Medicine, 161, 107059.

[7]. Bisht, A., Srivastava, V., Bisht, S., Verma, P. K., & Singh, B. (2024). Network pharmacology, molecular docking, and molecular dynamics simulation to elucidate the mechanism of anti-aging action of Tinospora cordifolia. Molecular Diversity, 28(3), 1743-1763.

[8]. Fu, L., Liu, Y., Li, W., Zhang, H., & Gao, Y. (2024). Pharmacological mechanism of quercetin in the treatment of colorectal cancer by network pharmacology and molecular simulation. Journal of Biomolecular Structure and Dynamics, 42(13), 7065-7076.

[9]. Noreen, S., Saleem, I., Hussain, A., Ahmed, M., Ali, M. S., & Afzal, M. (2023). Synthesis, characterization, molecular docking, and network pharmacology of bioactive metallic sulfonamide-isatin ligands against promising drug targets. Journal of Molecular Structure, 1277, 134780.

[10]. Omoboyede, V., Soyoye, A., Ogunbayo, G., Bamidele, O., Gbadamosi, I. T., & Oyeyemi, O. (2024). Unravelling the anti-inflammatory mechanism of Allium cepa: An integration of network pharmacology and molecular docking approaches. Molecular Diversity, 28(2), 727-747.

Cite this article

Song,H.;Li,G. (2024). Exploring the antitumor mechanisms of quercetin and kaempferol from Traditional Chinese Medicine against lung cancer through network pharmacology and molecular docking. Journal of Food Science, Nutrition and Health,3,7-11.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Journal:Journal of Food Science, Nutrition and Health

Volume number: Vol.3
ISSN:3029-0821(Print) / 3029-083X(Online)

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