ArticleScientific reports2018
A network pharmacology-based approach to analyse potential targets of traditional herbal formulas: An example of Yu Ping Feng decoction.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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39 citing papers in PubMed.
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- ALS: A Silent Slayer of Motor Neurons. Traditional Chinese Herbal Medicine as an Effective Therapy.Current pharmaceutical design · 2025Review
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- Network pharmacology prediction to discover the potential pharmacological action mechanism of Rhizoma Dioscoreae for liver regeneration.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2024Article
- Quercetin, a key active ingredient of Jianpi Zishen Xiehuo Formula, suppresses M1 macrophage polarization and platelet phagocytosis by inhibiting STAT3 activation based on network pharmacology.Naunyn-Schmiedeberg's archives of pharmacology · 2024Article
- Exploring the mechanism of Jinlida granules against type 2 diabetes mellitus by an integrative pharmacology strategy.Scientific reports · 2024Article
- Network Pharmacology with Metabolomics Study to Reveal the Mechanisms of Bushen Huoxue Formula in Intervertebral Disc Degeneration Treatment.Drug design, development and therapy · 2024Article
- Xiaoqinglong decoction suppresses childhood cough variant asthma and inhibited the body inflammatory response by regulating IL-6/STAT3 signalling pathway.Annals of medicine and surgery (2012) · 2023Article
- Anti-atherosclerotic effects of naringenin and quercetin from Folium Artemisiae argyi by attenuating Interleukin-1 beta (IL-1β)/ matrix metalloproteinase 9 (MMP9): network pharmacology-based analysis and validation.BMC complementary medicine and therapies · 2023Article
- Network pharmacology and molecular docking reveal the mechanism of Qinghua Xiaoyong Formula in Crohn's disease.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2023Article
- Network pharmacology prediction and molecular docking-based strategy to discover the potential pharmacological mechanism of action of Wang Bu Liu Xing (Journal of gastrointestinal oncology · 2023Article
- Mechanisms of Ganweikang Tablets against Chronic Hepatitis B: A Comprehensive Study of Network Analysis, Molecular Docking, and Chemical Profiling.BioMed research international · 2023Article
- Insights into the mechanisms of triptolide nephrotoxicity through network pharmacology-based analysis and RNA-seq.Frontiers in plant science · 2023Article
- Repair mechanism of Wuwei Fuzheng Yijing formula in di-2-ethylhexyl phthalate-induced sperm DNA fragmentation in mice.Pharmaceutical biology · 2022Article
- Methodology of network pharmacology for research on Chinese herbal medicine against COVID-19: A review.Journal of integrative medicine · 2022Review
- Integration strategy of network pharmacology in Traditional Chinese Medicine: a narrative review.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2022Review
- Network Pharmacology Approach for Medicinal Plants: Review and Assessment.Pharmaceuticals (Basel, Switzerland) · 2022Review
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6 authors.
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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 < 0.001), this study identified the network module with the strongest propensity toward therapeutic diseases of YPF. Further, the targets with the highest centrality in this module are recommended as YPF's potential therapeutic targets. By integrating the complicated "multi-targets-multi-pathways-multi-diseases" relationship of herbal formulas, the method shows promise for identifying its potential therapeutic targets, which could contribute to the modern scientific illustration of TCMs' traditional clinical applications.
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