ReviewChinese herbal medicines2024
Exploration of compatibility rules and discovery of active ingredients in TCM formulas by network pharmacology.
Review in Chinese herbal medicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Q-marker identification strategies in traditional Chinese medicines: a systematic review of research from 2020 to 2024.Frontiers in medicine · 2025Pooled it
- Zexie decoction alleviates hyperlipidemia through modulation of the PPAR signaling pathway and lysophospholipid metabolism.Pharmaceutical biology · 2026Article
- Molecular mechanisms of herbal medicines and bioactive compounds in rheumatoid arthritis: a comprehensive network pharmacology perspective.Molecular biology reports · 2026Review
- Serum and Urine Metabolite Profiling Combined With Network Pharmacology to Predict the Renoprotective Mechanism of Huangkui Capsule Against Acute Kidney Injury.Biomedical chromatography : BMC · 2026Article
- Anti-glioma mechanism of Angelica sinensis and stigmasterol: p53-associated ferroptosis identified via multi-method analysis.Scientific reports · 2026Article
- TCMNet: an AI-driven strategy for optimizing traditional Chinese medicine.Chinese medicine · 2026Article
- Identifying the potential anti-lung cancer targets of Baicalein using a network pharmacology approach.Scientific reports · 2026Article
- Paeonol protects against cisplatin-induced premature ovarian failure via anti-inflammatory and antioxidant activities: an integrated approach of network pharmacology, molecular dynamics simulation, and experimental validation.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Network Pharmacology and Transcriptomic Analysis Reveal the Therapeutic Mechanisms of Xiebai Bining Decoction in Hyperuricemic Nephropathy.Combinatorial chemistry & high throughput screening · 2026Article
- Integrative Network Pharmacology Prediction of the Mechanisms of Tri-Ka-Tuk: A Traditional Thai Herbal FormulaEndocrine, metabolic & immune disorders drug targets · 2026Review
- Naringenin restores neuronal membrane electro-biophysical homeostasis: insights from EIS circuit modeling and molecular dynamics.Frontiers in medicine · 2026Article
- Effect of the Addition of Xianglian Granules to PD-1 Monoclonal Antibodies in Pancancer Patients.Biological procedures online · 2025Article
- The Hepatoprotective Properties of the Revised Formulation of Dahuang Xiaoshi Tang, an Ancient Chinese Herbal Decoction, Are Probed by Integrated Metabolomics and Network Pharmacology.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Exploring Nigella Sativa's medicinal capacity against skin cancer pathways using network pharmacology and molecular docking.Scientific reports · 2025Article
- Systematic network pharmacology and experimental validation reveal anti-glioma mechanisms of ganoderma lucidum via multi-target regulation.Discover oncology · 2025Article
- Qingjie Fuzheng Granule prevents colitis-associated colorectal cancer by inhibiting abnormal activation of NOD2/NF-Chinese herbal medicines · 2025Article
- Cancer network pharmacology: multi-network regulatory mechanisms and future directions.Medical oncology (Northwood, London, England) · 2025Review
- AI driven network pharmacology: Multi-scale mechanisms of traditional Chinese medicine from molecular to patient analysis.Computational and structural biotechnology journal · 2025Review
- Regulatory Effects of Zhenxin Formula in Treating Doxorubicin-Induced Heart Failure: Network Pharmacology and Animal Experimental Verification.Drug design, development and therapy · 2025Article
- Guiling prescription attenuates hyperuricemia via multi-target regulation of uric acid metabolism, renal protection, and inflammation: insights from metabolomics and network pharmacology.Frontiers in nutrition · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network pharmacology is an interdisciplinary field that utilizes computer science, technology, and biological networks to investigate the intricate interplay among compounds/ingredients, targets, and diseases. Within the realm of traditional Chinese medicine (TCM), network pharmacology serves as a scientific approach to elucidate the compatibility relationships and underlying mechanisms of action in TCM formulas. It facilitates the identification of potential active ingredients within these formulas, providing a comprehensive understanding of their holistic and systematic nature, which aligns with the holistic principles inherent in TCM theory. TCM formulas exhibit complexity due to their multi-component characteristic, involving diverse targets and pathways. Consequently, investigating their material basis and mechanisms becomes challenging. Network pharmacology has emerged as a valuable approach in TCM formula research, leveraging its holistic and systematic advantages. The manuscript aims to provide an overview of the application of network pharmacology in studying TCM formula compatibility rules and explore future research directions. Specifically, we focus on how network pharmacology aids in interpreting TCM pharmacological theories and understanding formula compositions. Additionally, we elucidate the process of utilizing network pharmacology to identify active ingredients within TCM formulas. These findings not only offer novel research models and perspectives for integrating network pharmacology with TCM theory but also present new methodologies for investigating TCM formula compatibility. All in all, network pharmacology has become an indispensable and crucial tool in advancing TCM formula research.
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