Network pharmacology and in silico approach to study the mechanism of quercetin against breast cancer.

In silico pharmacology Pub Date : 2025-02-06 eCollection Date: 2025-01-01 DOI:10.1007/s40203-025-00306-8
Tejveer Singh, Mahi Rastogi, Kulbhushan Thakur
{"title":"Network pharmacology and in silico approach to study the mechanism of quercetin against breast cancer.","authors":"Tejveer Singh, Mahi Rastogi, Kulbhushan Thakur","doi":"10.1007/s40203-025-00306-8","DOIUrl":null,"url":null,"abstract":"<p><p>Breast cancer is a significant health concern among females with an estimated 2.3 million cases reported worldwide in 2022. Traditional treatment methods have now developed resistance and various adverse effects, highlighting an urgent need for attention. Therefore, it is advisable to substitute these conventional therapies with innovative medications. Quercetin is a flavonoid, commonly found in various vegetables and fruits and have been shown to possess anti-cancer properties. Network pharmacology is a comprehensive approach that has significantly assisted in investigating the potential of quercetin as a therapeutic option for breast cancer. The first step includes target fishing for quercetin-targeted genes in breast cancer through various online available databases. All intersecting genes were analysed for the phenotypic- genotypic correlation via online VarElect analysis tool. Using the result from the result the GO enrichment and pathway enrichment analysis was done on 52 common genes; followed by PPI network construction and based on topological parameters top 8 genes were filtered. Based on theVenny2.1 and then GEPIA and HPA analysis the key target were identifies as ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4 and ABCG2. Further, Molecular docking was done to investigate the possible interaction of the identified gene with quercetin. Our finding shows quercetin is the potential natural drug that can treat breast cancer effectively. Quercetin interacts with ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4, and ABCG2 at cellular as well as molecular level. The ADMET analysis suggests the bioavaibility of quercetin is around 0.55. Suggesting that quercetin satisfies drug-likeness rules but may face challenges like low bioavailability, which can be enhanced through structural modifications or formulations (e.g., nanoparticles). The molecular docking result assures the interaction of quercetin with the ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4, and ABCG2 with the binding affinity of - 7.2, - 10.1, - 10.4, - 8.0, - 8.2, - 8.2, - 9.0 and - 8.9 respectively. These results suggest quercetin has a stable interaction with the ABCC4 gene. Considering this interaction the quercetin molecules can rescue the cellular condition by inducing apoptosis, inhibiting proliferation, and suppressing metastasis. Quercetin, a natural compound found in fruits and vegetables, has been found to have significant therapeutic roles in treating breast cancer. It inhibits cell cycle arrest, promotes apoptosis, and reduces blood vessel formation. It also reverses drug resistance and has antioxidant and anti-inflammatory properties. This study concludes that the therapeutic influence of quercetin plays a significant role in treating breast cancer and aids in the advancement of the clinical application of quercetin in future studies.</p><p><strong>Graphical abstract: </strong></p>","PeriodicalId":94038,"journal":{"name":"In silico pharmacology","volume":"13 1","pages":"22"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11802979/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"In silico pharmacology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40203-025-00306-8","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Breast cancer is a significant health concern among females with an estimated 2.3 million cases reported worldwide in 2022. Traditional treatment methods have now developed resistance and various adverse effects, highlighting an urgent need for attention. Therefore, it is advisable to substitute these conventional therapies with innovative medications. Quercetin is a flavonoid, commonly found in various vegetables and fruits and have been shown to possess anti-cancer properties. Network pharmacology is a comprehensive approach that has significantly assisted in investigating the potential of quercetin as a therapeutic option for breast cancer. The first step includes target fishing for quercetin-targeted genes in breast cancer through various online available databases. All intersecting genes were analysed for the phenotypic- genotypic correlation via online VarElect analysis tool. Using the result from the result the GO enrichment and pathway enrichment analysis was done on 52 common genes; followed by PPI network construction and based on topological parameters top 8 genes were filtered. Based on theVenny2.1 and then GEPIA and HPA analysis the key target were identifies as ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4 and ABCG2. Further, Molecular docking was done to investigate the possible interaction of the identified gene with quercetin. Our finding shows quercetin is the potential natural drug that can treat breast cancer effectively. Quercetin interacts with ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4, and ABCG2 at cellular as well as molecular level. The ADMET analysis suggests the bioavaibility of quercetin is around 0.55. Suggesting that quercetin satisfies drug-likeness rules but may face challenges like low bioavailability, which can be enhanced through structural modifications or formulations (e.g., nanoparticles). The molecular docking result assures the interaction of quercetin with the ABCC1, ABCC4, AKT1, ABCB1, CYP1B1, CYP19A1, ABCB4, and ABCG2 with the binding affinity of - 7.2, - 10.1, - 10.4, - 8.0, - 8.2, - 8.2, - 9.0 and - 8.9 respectively. These results suggest quercetin has a stable interaction with the ABCC4 gene. Considering this interaction the quercetin molecules can rescue the cellular condition by inducing apoptosis, inhibiting proliferation, and suppressing metastasis. Quercetin, a natural compound found in fruits and vegetables, has been found to have significant therapeutic roles in treating breast cancer. It inhibits cell cycle arrest, promotes apoptosis, and reduces blood vessel formation. It also reverses drug resistance and has antioxidant and anti-inflammatory properties. This study concludes that the therapeutic influence of quercetin plays a significant role in treating breast cancer and aids in the advancement of the clinical application of quercetin in future studies.

Graphical abstract:

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Repurposing doxycycline for the inhibition of monkeypox virus DNA polymerase: a comprehensive computational study. Tinospora cordifolia bioactive compounds as a novel sterol 14a-demethylase (CYP51) inhibitor: an in silico study. Molecular detection of mecA gene from methicillin-resistant Staphylococcus aureus isolated from clinical and environmental samples and its potential inhibition by phytochemicals using in vitro and in silico approach. In-silico evaluation of diffractaic acid as novel anti-diabetic inhibitor against dipeptidyl peptidase IV enzyme. Prediction of SafD adhesin strong binding peptides for pilus proteins assembly suppression in the prevention of Salmonella-induced biofilm formation using virtual mutagenesis studies.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1