ArticleChinese journal of integrative medicine2016
Exploring traditional chinese medicine by a novel therapeutic concept of network target.
Article in Chinese journal of integrative medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed, 93 citations in OpenAlex.
- Systems pharmacology of traditional Chinese medicine in fibrosis: From multi-target mechanisms to translational validation.Chinese herbal medicines · 2026Review
- Implementation of a computational medical assemblage heuristic to improve rational design of phytomedicines for safety, efficacy and regulatory approval.Frontiers in pharmacology · 2026Article
- Prioritizing pathway signature using deep learning approach: a novel strategy for traditional Chinese medicine formula generation and optimization.Briefings in bioinformatics · 2025Article
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- The Mechanisms and Quality Markers of Anti-rheumatoid Arthritis of Traditional Chinese Medicine.Combinatorial chemistry & high throughput screening · 2025Review
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- A novel bioinformatics strategy to uncover the active ingredients and molecular mechanisms of Bai Shao in the treatment of non-alcoholic fatty liver disease.Frontiers in pharmacology · 2024Article
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- Mechanisms of Chinese Medicine in Gastroesophageal Reflux Disease Treatment: Data Mining and Systematic Pharmacology Study.Chinese journal of integrative medicine · 2023Article
- Network pharmacology and experimental studies for deciphering the molecular targets and mechanisms of Chaihu Shugan powder in the treatment of functional dyspepsia.Technology and health care : official journal of the European Society for Engineering and Medicine · 2023Article
- "Drying effect" of fructus aurantii components and the mechanism of action based on network pharmacology andFrontiers in pharmacology · 2023Article
- A Novel Based-Network Strategy to Identify Phytochemicals from Radix Salviae Miltiorrhizae (Danshen) for Treating Alzheimer's Disease.Molecules (Basel, Switzerland) · 2022Article
- Network Pharmacology Approach for Medicinal Plants: Review and Assessment.Pharmaceuticals (Basel, Switzerland) · 2022Review
- The Protective Effects of Sour Orange (Molecules (Basel, Switzerland) · 2022Article
- Identifying the molecular basis of Jinhong tablets against chronic superficial gastritis via chemical profile identification and symptom-guided network pharmacology analysis.Journal of pharmaceutical analysis · 2022Article
- Study on the Multitarget Mechanism and Active Compounds of Essential Oil fromEvidence-based complementary and alternative medicine : eCAM · 2022Article
- Investigating the effects and mechanisms of Erchen Decoction in the treatment of colorectal cancer by network pharmacology and experimental validation.Frontiers in pharmacology · 2022Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional Chinese medicine (TCM) holds a holistic theory, and specializes in balancing disordered human body using numerous natural products, particularly Chinese herbal formulae. TCM has certain treatment advantages for patients suffering from various complex diseases. However, due to the complex nature of TCM, it remains difficult to unveil such holistic medicine by the current reductionism research strategies, which treat both herbal ingredients and targets in isolation. Recently, an emerging network pharmacology approach has been introduced to tackle this bottleneck problem. A TCM-derived novel therapeutic concept, "network target", which is different from the Western medicine's "onetarget" concept, has been proposed from China. The network target strategy is able to illustrate the complex interactions among the biological systems, drugs, and complex diseases from a network perspective, and thus provides an innovative approach to access ancient remedies in a precision manner and at a systematic level, which also highlights TCM's potential in current medical systems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.