A Bioinformatics Research on Novel Mechanism of Compound Kushen Injection for Treating Breast Cancer by Network Pharmacology and Molecular Docking Verification
المؤلفون المشاركون
Wu, Jiarui
Liu, Shuyu
Hu, Xiaohong
Fan, Xiaotian
Jin, Ruiqi
Yang, Wenqian
Geng, Yifei
المصدر
Evidence-Based Complementary and Alternative Medicine
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-08-11
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
Compound Kushen injection (CKI) has been extensively used in treating breast cancer (BC).
However, the molecular mechanism remains unclear.
In this study, 16 active compounds of CKI were obtained from 3 articles for target prediction.
Then, a compound-predicted target network and a compound-BC target network were conducted by Cytoscape 3.6.1.
The gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the DAVID database.
The binding energy between the key targets of CKI and the active compounds was studied by molecular docking.
As a result, 16 active compounds of CKI were identified, corresponding to 285 putative targets.
The key targets of CKI for BC are HSD11B1, DPP4, MMP9, CDK1, MMP2, PTGS2, and CA14.
The function enrichment analysis obtained 13 GO entries and 6 KEGG pathways, including bladder cancer, cancer pathways, chemical carcinogenesis, estrogen signaling pathway, TNF signaling pathway, and leukocyte transendothelial migration.
The result of molecular docking indicated that DPP4 had strong binding activity with matrine, alicyclic protein, and sophoridine, and MMP9 had strong binding activity with adenine and sophoridine.
In conclusion, the therapeutic effect of CKI on BC is based on the overall pharmacological effect formed by the combined effects of multiple components, multiple targets, and multiple pathways.
This study provides a theoretical basis for further experimental research in the future.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Shuyu& Hu, Xiaohong& Fan, Xiaotian& Jin, Ruiqi& Yang, Wenqian& Geng, Yifei…[et al.]. 2020. A Bioinformatics Research on Novel Mechanism of Compound Kushen Injection for Treating Breast Cancer by Network Pharmacology and Molecular Docking Verification. Evidence-Based Complementary and Alternative Medicine،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1155401
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Shuyu…[et al.]. A Bioinformatics Research on Novel Mechanism of Compound Kushen Injection for Treating Breast Cancer by Network Pharmacology and Molecular Docking Verification. Evidence-Based Complementary and Alternative Medicine No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1155401
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Shuyu& Hu, Xiaohong& Fan, Xiaotian& Jin, Ruiqi& Yang, Wenqian& Geng, Yifei…[et al.]. A Bioinformatics Research on Novel Mechanism of Compound Kushen Injection for Treating Breast Cancer by Network Pharmacology and Molecular Docking Verification. Evidence-Based Complementary and Alternative Medicine. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1155401
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1155401
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر