Literature DB >> 30727880

Network Pharmacology and Reverse Molecular Docking-Based Prediction of the Molecular Targets and Pathways for Avicularin Against Cancer.

Chaohui Duan1,2, Yang Li1, Xiaorui Dong3, Weibin Xu3, Yingli Ma1.   

Abstract

AIM AND
OBJECTIVE: Avicularin has been found to inhibit the proliferation of HepG-2 cells in vitro in the screening of our laboratory. We intended to explain the molecular mechanism of this effect. Therefore, the combined methods of reverse molecular docking and network pharmacology were used in order to illuminate the molecular mechanisms for Avicularin against cancer.
MATERIALS AND METHODS: Potential targets associated with anti-tumor effects of Avicularin were screened by reverse molecular docking, then a protein database was established through constructing the drugprotein network from literature mining data, and the protein-protein network was built through an in-depth exploration of the relationships between the proteins, and then the network topology analysis was performed. Additionally, gene function and signaling pathways were analyzed by Go bio-enrichment and KEGG Pathway.
RESULTS: The result showed that Avicularin was closely related to 16 targets associated with cancer, and it may significantly influence the pro-survival signals in MAPK signaling pathway that can activate and regulate a series of cellular activities and participate in the regulation of cell proliferation, differentiation, transformation and apoptosis.
CONCLUSION: The network pharmacology strategy used herein provided a powerful means for the mechanisms of action for bioactive ingredients. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Avicularin; MAPK signaling pathway; molecular mechanism; molecular targets; network pharmacology; reverse molecular docking.

Mesh:

Substances:

Year:  2019        PMID: 30727880     DOI: 10.2174/1386207322666190206163409

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  4 in total

1.  Network Pharmacology Integrated Molecular Docking Reveals the Mechanism of Anisodamine Hydrobromide Injection against Novel Coronavirus Pneumonia.

Authors:  Jinsong Su; Zixuan Liu; Chuan Liu; Xuanhao Li; Yi Wang; Jing Zhao; Qingjiang Wu; Shichao Zheng; Yi Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2020-08-05       Impact factor: 2.629

2.  Mechanism Prediction of Astragalus membranaceus against Cisplatin-Induced Kidney Damage by Network Pharmacology and Molecular Docking.

Authors:  Congchao Jia; Xianchao Pan; Binyou Wang; Pengyu Wang; Yiwei Wang; Rong Chen
Journal:  Evid Based Complement Alternat Med       Date:  2021-08-19       Impact factor: 2.629

3.  Effect of Fluorofenidone Against Paraquat-Induced Pulmonary Fibrosis Based on Metabolomics and Network Pharmacology.

Authors:  Feiya Jiang; Tongtong Wang; Sha Li; Yu Jiang; Zhuo Chen; Wen Liu
Journal:  Med Sci Monit       Date:  2021-04-01

4.  Exploration in the mechanism of fucosterol for the treatment of non-small cell lung cancer based on network pharmacology and molecular docking.

Authors:  Xiaoling Li; Baixin Lin; Zhiping Lin; Yucui Ma; Qu Wang; Yushi Zheng; Liao Cui; Hui Luo; Lianxiang Luo
Journal:  Sci Rep       Date:  2021-03-01       Impact factor: 4.379

  4 in total

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