Pharmacological mechanism of quercetin in the treatment of colorectal cancer by network pharmacology and molecular simulation

被引:7
|
作者
Fu, Le [1 ,2 ]
Zhao, Linan [1 ,2 ]
Li, Fei [2 ]
Wen, Feng [2 ]
Zhang, Peng [2 ]
Yang, Xia [2 ]
Wang, Yuanqiang [1 ]
机构
[1] Chongqing Univ Technol, Sch Pharm & Bioengn, Chongqing, Peoples R China
[2] Chongqing Univ, Qianjiang Cent Hosp Chongqing, Qianjiang Hosp, Chongqing, Peoples R China
来源
关键词
Quercetin; colorectal cancer; network pharmacology; MD simulation; PARTICLE MESH EWALD; DYNAMICS SIMULATIONS; AMBER; OVEREXPRESSION; CHEMOTHERAPY; VALIDATION; EXPRESSION; PREVENTION; RESISTANCE;
D O I
10.1080/07391102.2023.2235589
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Colorectal cancer is a serious threat to people's life due to its high incidence and high mortality. Quercetin can effectively treat colorectal carcinoma (CRC), but its exact mechanism of action is still unclear. Then quercetin-related target genes were obtained from Swiss Target Prediction database and Similarity Ensemble Approach (SEA) database, and CRC-related target genes were obtained from GeneCards database, respectively. Common target genes were obtained by FunRich software. String software was used to construct a protein-protein interaction (PPI) network. R package was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Molecular docking, molecular dynamics (MD) simulation and post-dynamics simulation were used to explore the binding stability of quercetin to key targets. In total, 103 and 141 target information of quercetin were obtained from the Swiss Target Prediction database and SEA database, respectively. 1,649 CRC-related genes were obtained from GeneCards database. FunRich software was used to draw venny map and obtain 36 intersection targets of quercetin and CRC. String software was used to construct the PPI network. The core genes were AKT1, EGFR, MMP9, KDR, MET and PTK2. There were 532 items related to biological processes, 14 items related to cellular components, and 43 items related to molecular functions among the key target GO enrichment items. KEGG enrichment pathways of key targets involved cancer pathways, PI3K-Akt signal pathway, etc. The results of molecular docking, MD simulation and post-dynamics simulation showed they had a good affinity and formed a stable effect. So quercetin may play an important role in the treatment of CRC by acting on AKT1, EGFR, MMP9, KDR, MET and PTK2 to affect the development of CRC.Communicated by Ramaswamy H. Sarma
引用
收藏
页码:7065 / 7076
页数:12
相关论文
共 50 条
  • [1] Molecular Mechanism of Salvia miltiorrhiza in the Treatment of Colorectal Cancer Based on Network Pharmacology and Molecular Docking Technology
    Jiang, Yi-Ling
    Xun, Yi
    DRUG DESIGN DEVELOPMENT AND THERAPY, 2024, 18 : 425 - 441
  • [2] Investigating the Mechanism of Scutellariae barbata Herba in the Treatment of Colorectal Cancer by Network Pharmacology and Molecular Docking
    Qi, Xiangjun
    Xu, Hongbin
    Zhang, Peng
    Chen, Guoming
    Chen, Zhiqiang
    Fang, Caishan
    Lin, Lizhu
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2021, 2021
  • [3] Identifying the Multitarget Pharmacological Mechanism of Action of Genistein on Lung Cancer by Integrating Network Pharmacology and Molecular Dynamic Simulation
    Das, Raju
    Woo, Joohan
    MOLECULES, 2024, 29 (09):
  • [4] Mechanism of Bazhen decoction in the treatment of colorectal cancer based on network pharmacology, molecular docking, and experimental validation
    Lu, Shuai
    Sun, Xibo
    Zhou, Zhongbao
    Tang, Huazhen
    Xiao, Ruixue
    Lv, Qingchen
    Wang, Bing
    Qu, Jinxiu
    Yu, Jinxuan
    Sun, Fang
    Deng, Zhuoya
    Tian, Yuying
    Li, Cong
    Yang, Zhenpeng
    Yang, Penghui
    Rao, Benqiang
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [5] Therapeutic Role of Quercetin in Prostate Cancer: A Study of Network Pharmacology, Molecular Docking, and Dynamics Simulation
    Martinez-Esquivias, Fernando
    Guzman-Flores, Juan Manuel
    Pech-Santiago, Edar O.
    Guerrero-Barrera, Alma Lilian
    Delgadillo-Aguirre, Claudia Karina
    Anaya-Esparza, Luis Miguel
    CELL BIOCHEMISTRY AND BIOPHYSICS, 2025,
  • [6] Pharmacological Mechanism of Ganlu Powder in the Treatment of NASH Based on Network Pharmacology and Molecular Docking
    Gao, Rui
    Zhang, Xiaobo
    Zhou, Zhen
    Sun, Jiayi
    Tang, Xuehua
    Li, Jialiang
    Zhou, Xin
    Shen, Tao
    DISEASE MARKERS, 2022, 2022
  • [7] Network Pharmacology and Molecular Docking Combined to Analyze the Molecular and Pharmacological Mechanism of Pinellia ternata in the Treatment of Hypertension
    Zhai, Zhaowei
    Tao, Xinru
    Alami, Mohammad Murtaza
    Shu, Shaohua
    Wang, Xuekui
    CURRENT ISSUES IN MOLECULAR BIOLOGY, 2021, 43 (01) : 65 - 78
  • [8] Network Pharmacology, Molecular Docking, and Experimental Validation to Investigate the Mechanism of Qifu Longkui Decoction in the Treatment of Colorectal Cancer
    Xiong, Yaling
    Liu, Yihao
    Chen, Xia
    Tang, Shuiwen
    Jian, Zhiyuan
    NATURAL PRODUCT COMMUNICATIONS, 2024, 19 (12)
  • [9] The pharmacological mechanism of β-elemene in the treatment of esophageal cancer revealed by network pharmacology and experimental verification
    Dejiang Zhou
    Xiaoling Wu
    Xiaoli Liu
    Sheng He
    Jiang Ni
    Beijin Chen
    Dong Mu
    Scientific Reports, 13
  • [10] Exploring the pharmacological and molecular mechanisms of Salvia chinensis Benth in colorectal cancer: A network pharmacology and molecular docking study
    Zheng, Qian
    Wang, Xin
    Gao, Tian
    Zhang, Bingzhou
    Zhao, Ning
    Du, Runsen
    Zhao, Zengren
    MEDICINE, 2023, 102 (50) : E36602