小桶
对接(动物)
计算生物学
机制(生物学)
类风湿性关节炎
基因
虚拟筛选
药理学
医学
生物
生物信息学
基因表达
药物发现
基因本体论
遗传学
免疫学
哲学
护理部
认识论
作者
Zhao Yang,Zhenzhen Yuan,Xinlong Ma
出处
期刊:Current Computer - Aided Drug Design
[Bentham Science]
日期:2023-05-17
卷期号:20 (4): 405-415
标识
DOI:10.2174/1573409919666230516110622
摘要
Rheumatoid Arthritis (RA) is a chronic autoimmune disease with various symptoms in patients. Duhuo Jisheng Decoction (DHJSD) has been used to treat RA in China for a long history as a classic TCM formula. However, the underlying pharmacological mechanism still needs to be elucidated.In the current study, we combined network pharmacology with molecular docking to investigate the potential mechanism of DHJSD treating RA.The active compounds and related targets of DHJSD were obtained from the TCMSP database. The RA targets were retrieved from the GEO database. The PPI network of overlapping targets was constructed, whereas the core genes were selected by CytoNCA for molecular docking. GO and KEGG enrichment analysis were used to further explore the biological process and pathways of overlapping targets. On this basis, molecular docking was carried out to verify the interrelations of the main compounds and core targets.In this study, we found 81 active components corresponding to 225 targets of DHJSD. Moreover, 775 RA-related targets were obtained, of which 12 were shared between DHJSD targets and RA target genes. From GO and KEGG analysis, there were 346 GO items and 18 signaling pathways. As the molecular docking showed, the binding of components was stable with the core gene.In conclusion, our works revealed the underlying mechanism of DHJSD for treating RA using network pharmacology and molecular docking, which provided a theoretical basis for further clinical application in the future.
科研通智能强力驱动
Strongly Powered by AbleSci AI