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Explore the mechanism and substance basis of Mahuang FuziXixin Decoction for the treatment of lung cancer based on network pharmacology and molecular docking
Zhang, Weitong1; Tian, Wangqi1; Wang, Yifan1; Jin, Xiaojie2; Guo, Hui1; Wang, Yuwei1; Tang, Yuping1; Yao, Xiaojun3
2022-12-01
Source PublicationComputers in Biology and Medicine
ISSN0010-4825
Volume151
Abstract

Background: Mahuang FuziXixin Decoction (MFXD) is a classic Chinese herbal formula for the treatment of lung cancer. However, its mechanisms of action are unclear. In present study, network pharmacology and molecular docking technology were employed to investigate the molecular mechanism and substance basis of MFXD for the treatment of lung cancer. Method: The active compounds and corresponding targets of MFXD were collected through the TCMSP database. OMIM and GeneCards databases were applied to filter the targets of lung cancer. The protein-protein interaction (PPI) were acquired through the STRING platform. Metascape and the Bioinformatics server were used for the visualization of GO and KEGG analysis. The tissue and organ distribution of targets was evaluated based on the BioGPS database. The binding affinity between potential targets and active compounds was evaluated by molecular docking. Result: A total of 51 active compounds and 118 targets of MFXD were collected. The target with a higher degree were identified through the PPI network, namely AR, RELA, NCOA1, EGFR, FOS, CCND1, ESR1 and HSP90AA1. GO and KEGG analysis suggested that MFXD treatment of lung cancer mainly involves hormone and response to inorganic substance, transcription regular complex, transcription factor binding and Pathways in cancer. Experimental validation showed that MFXD treatment inhibited the proliferation of NSCLC cells through downregulation the expression of EGFR, HIF1A, NCOA1 and RELA. Moreover, molecular docking revealed that hydrogen bond and hydrophobic interaction contribute to the binding of the compounds to targets. Conclusion: Our findings comprehensively elucidated the actives, potential targets, and molecular mechanisms of MFXD against lung cancer, providing a promising strategy for the scientific basis and therapeutic mechanism of traditional Chinese medicine prescriptions for the treatment of the disease.

KeywordLung Cancer Mahuang Fuzixixin Decoction Molecular Docking Network Pharmacology Traditional Chinese Medicine
DOI10.1016/j.compbiomed.2022.106293
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaLife Sciences & Biomedicine - Other Topics ; Computer Science ; Engineering ; Mathematical & Computational Biology
WOS SubjectBiology ; Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Mathematical & Computational Biology
WOS IDWOS:000900240200001
PublisherPERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
Scopus ID2-s2.0-85141923179
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Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorWang, Yuwei
Affiliation1.College of Pharmacy, Shaanxi University of Chinese Medicine, Shiji Ave., Xi'an-xianyang New Ecomic Zone, Shaanxi, China
2.College of Pharmacy, Gansu University of Chinese Medicine, Lanzhou, Gansu, China
3.State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Avenida Wai Long, Macau (SAR), China
Recommended Citation
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Zhang, Weitong,Tian, Wangqi,Wang, Yifan,et al. Explore the mechanism and substance basis of Mahuang FuziXixin Decoction for the treatment of lung cancer based on network pharmacology and molecular docking[J]. Computers in Biology and Medicine, 2022, 151.
APA Zhang, Weitong., Tian, Wangqi., Wang, Yifan., Jin, Xiaojie., Guo, Hui., Wang, Yuwei., Tang, Yuping., & Yao, Xiaojun (2022). Explore the mechanism and substance basis of Mahuang FuziXixin Decoction for the treatment of lung cancer based on network pharmacology and molecular docking. Computers in Biology and Medicine, 151.
MLA Zhang, Weitong,et al."Explore the mechanism and substance basis of Mahuang FuziXixin Decoction for the treatment of lung cancer based on network pharmacology and molecular docking".Computers in Biology and Medicine 151(2022).
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