Dongli Guo, Jing Jin, Jianghui Liu, Meng Ren, Yutong He
{"title":"Network Pharmacological Study of Compound Kushen Injection in Esophageal Cancer.","authors":"Dongli Guo, Jing Jin, Jianghui Liu, Meng Ren, Yutong He","doi":"10.2174/1573409919666230111155954","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>To provide new methods and ideas for the clinical application of integrated traditional Chinese and Western medicine in the treatment of esophageal cancer.</p><p><strong>Background: </strong>Traditional Chinese medicine compound Kushen injection (CKI) has been widely used in the clinic with adjuvant radiotherapy and chemotherapy. However, the mechanism of action of CKI as adjuvant therapy for esophageal cancer has not yet been described.</p><p><strong>Methods: </strong>This study is based on network pharmacology, data mining, and molecular docking technology to explore the mechanism of action of CKI in the treatment of esophageal cancer. We obtained the effective ingredients and targets of CKI from the traditional Chinese medicine system pharmacology database and analysis platform (TCMSP) and esophageal cancer-related genes from the Online Mendelian Inheritance in Man (OMIM) and GeneCards databases.</p><p><strong>Results: </strong>CKI mainly contains 58 active components. Among them, the top 5 active ingredients are quercetin, luteolin, naringenin, formononetin, and beta-sitostero. The target protein of the active ingredient was matched with the genes associated with esophageal cancer. The active ingredients targeted 187 esophageal cancer target proteins, including AKT1, MAPK1, MAPK3, TP53, HSP90AA1, and other proteins. Then, we enriched and analyzed the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) and used AutoDockVina to dock the core targets and compounds. Finally, PyMOL and Ligplot were used for data visualization.</p><p><strong>Conclusion: </strong>This study provides a new method and ideas for the clinical application of integrated traditional Chinese and Western medicine in the treatment of esophageal cancer.</p>","PeriodicalId":10886,"journal":{"name":"Current computer-aided drug design","volume":"19 5","pages":"367-381"},"PeriodicalIF":1.5000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current computer-aided drug design","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/1573409919666230111155954","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, MEDICINAL","Score":null,"Total":0}
引用次数: 2
Abstract
Aim: To provide new methods and ideas for the clinical application of integrated traditional Chinese and Western medicine in the treatment of esophageal cancer.
Background: Traditional Chinese medicine compound Kushen injection (CKI) has been widely used in the clinic with adjuvant radiotherapy and chemotherapy. However, the mechanism of action of CKI as adjuvant therapy for esophageal cancer has not yet been described.
Methods: This study is based on network pharmacology, data mining, and molecular docking technology to explore the mechanism of action of CKI in the treatment of esophageal cancer. We obtained the effective ingredients and targets of CKI from the traditional Chinese medicine system pharmacology database and analysis platform (TCMSP) and esophageal cancer-related genes from the Online Mendelian Inheritance in Man (OMIM) and GeneCards databases.
Results: CKI mainly contains 58 active components. Among them, the top 5 active ingredients are quercetin, luteolin, naringenin, formononetin, and beta-sitostero. The target protein of the active ingredient was matched with the genes associated with esophageal cancer. The active ingredients targeted 187 esophageal cancer target proteins, including AKT1, MAPK1, MAPK3, TP53, HSP90AA1, and other proteins. Then, we enriched and analyzed the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) and used AutoDockVina to dock the core targets and compounds. Finally, PyMOL and Ligplot were used for data visualization.
Conclusion: This study provides a new method and ideas for the clinical application of integrated traditional Chinese and Western medicine in the treatment of esophageal cancer.
期刊介绍：
Aims & Scope
Current Computer-Aided Drug Design aims to publish all the latest developments in drug design based on computational techniques. The field of computer-aided drug design has had extensive impact in the area of drug design.
Current Computer-Aided Drug Design is an essential journal for all medicinal chemists who wish to be kept informed and up-to-date with all the latest and important developments in computer-aided methodologies and their applications in drug discovery. Each issue contains a series of timely, in-depth reviews, original research articles and letter articles written by leaders in the field, covering a range of computational techniques for drug design, screening, ADME studies, theoretical chemistry; computational chemistry; computer and molecular graphics; molecular modeling; protein engineering; drug design; expert systems; general structure-property relationships; molecular dynamics; chemical database development and usage etc., providing excellent rationales for drug development.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
