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A network pharmacology-based approach to analyse potential targets of traditional herbal formulas: An example of Yu Ping Feng decoction
- Source :
- Scientific Reports, Vol 8, Iss 1, Pp 1-15 (2018), Scientific Reports
- Publication Year :
- 2018
- Publisher :
- Nature Publishing Group, 2018.
-
Abstract
- Herbal formulas from traditional Chinese medicines (TCMs) have been extensively used in clinics as effective therapies, but it is still a great challenge to demonstrate the scientific basis for their therapeutic effects at the level of molecular biology. By taking a classic herbal formula (Yu Ping Feng decoction, YPF) as an example, this study developed a novel network pharmacology based method to identify its potential therapeutic targets. First, this study constructed a “targets–(pathways)–targets” (TPT) network in which targets of YPF were connected by relevant pathways; then, this network was decomposed into separate modules with strong internal connections; lastly, the propensity of each module toward different diseases was assessed by a contribution score. On the basis of a significant association between network modules and therapeutic diseases validated by chi-square test (p-value
- Subjects :
- 0301 basic medicine
Ping (video games)
Computer science
lcsh:Medicine
Decoction
Disease
Machine learning
computer.software_genre
Article
03 medical and health sciences
Network pharmacology
Humans
lcsh:Science
Multidisciplinary
business.industry
Therapeutic effect
lcsh:R
030104 developmental biology
lcsh:Q
Artificial intelligence
Centrality
business
computer
Algorithms
Drugs, Chinese Herbal
Signal Transduction
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 8
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....8fb5bb0c48ae12da7c0850efed15ccb4