ReviewChinese medicine2023
Network pharmacology: a bright guiding light on the way to explore the personalized precise medication of traditional Chinese medicine.
Review in Chinese medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 101 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
101 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Q-marker identification strategies in traditional Chinese medicines: a systematic review of research from 2020 to 2024.Frontiers in medicine · 2025Pooled it
- Educational Leadership for Sustainable Capacity Building Towards Enhancing Interdisciplinary Collaboration in Computer-Aided Drug Design and Network Pharmacology: A Systematic Review.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyPooled it
- IntegratedACS pharmacology & translational science · 2026Article
- Astragaloside IV suppresses triple-negative breast cancer cell migration and invasion by targeting BCAT1-mediated branched-chain amino acid metabolism.Oncology letters · 2026Article
- Molecular mechanisms of herbal medicines and bioactive compounds in rheumatoid arthritis: a comprehensive network pharmacology perspective.Molecular biology reports · 2026Review
- Mechanistic elucidation ofJournal of ginseng research · 2026Article
- Phytochemical-driven angiogenesis and mucosal regeneration in gastric ulcer healing: molecular mechanisms, preclinical evidence, and translational perspectives.Molecular biology reports · 2026Review
- TCM-Agent: Advancing network pharmacology and herbal medicine discovery with LLM-based multi-agent systems.Journal of pharmaceutical analysis · 2026Article
- Oxidation-derived metabolites sustain the antioxidant network of quercetin.Journal of computer-aided molecular design · 2026Article
- Network toxicology-driven repurposing of metformin for hepatocellular carcinoma: insights from molecular docking and dynamics simulations.Journal of molecular modeling · 2026Article
- Potential Host-Directed Mechanisms ofVeterinary sciences · 2026Article
- Systems pharmacology of traditional Chinese medicine in fibrosis: From multi-target mechanisms to translational validation.Chinese herbal medicines · 2026Review
- Mechanisms of Xiangxue decoction in treating COVID-19 via HPLC‒Q-TOF‒MS/MS, network pharmacology, molecular docking and molecular dynamics simulation.Scientific reports · 2026Article
- Review
- Chemopreventive Potential of Brucine-Gold Nanoparticles (BRU-AuNPs) in DMBA-induced Mammary Cancer via Modulation of PI3K/AKT/mTOR Pathway.Applied biochemistry and biotechnology · 2026Article
- Exploration of network-based, machine learning, MD simulations, and MM/GBSA approaches revealed luteolin from Gynura procumbens as key inhibitor of MMP9 in NSCLC.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Targeting the AGE-RAGE/NF-κB Pathway: An Integrative Study Decoding the Anti-Colitis Effect of Five-Flavor Sophora Flavescens Enteric-Coated Capsule.Biomedicines · 2026Article
- Effectiveness and Safety of Liuwei Dihuang as an Adjunctive Therapy for Cognitive Impairment: A Systematic Review, Meta-Analysis, and Network Pharmacology Analysis.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Anti-glioma mechanism of Angelica sinensis and stigmasterol: p53-associated ferroptosis identified via multi-method analysis.Scientific reports · 2026Article
- AI and network biology for rational polypharmacology in signaling drug design: a review.NPJ precision oncology · 2026Review
41 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
Network pharmacology can ascertain the therapeutic mechanism of drugs for treating diseases at the level of biological targets and pathways. The effective mechanism study of traditional Chinese medicine (TCM) characterized by multi-component, multi-targeted, and integrative efficacy, perfectly corresponds to the application of network pharmacology. Currently, network pharmacology has been widely utilized to clarify the mechanism of the physiological activity of TCM. In this review, we comprehensively summarize the application of network pharmacology in TCM to reveal its potential of verifying the phenotype and underlying causes of diseases, realizing the personalized and accurate application of TCM. We searched the literature using "TCM network pharmacology" and "network pharmacology" as keywords from Web of Science, PubMed, Google Scholar, as well as Chinese National Knowledge Infrastructure in the last decade. The origins, development, and application of network pharmacology are closely correlated with the study of TCM which has been applied in China for thousands of years. Network pharmacology and TCM have the same core idea and promote each other. A well-defined research strategy for network pharmacology has been utilized in several aspects of TCM research, including the elucidation of the biological basis of diseases and syndromes, the prediction of TCM targets, the screening of TCM active compounds, and the decipherment of mechanisms of TCM in treating diseases. However, several factors limit its application, such as the selection of databases and algorithms, the unstable quality of the research results, and the lack of standardization. This review aims to provide references and ideas for the research of TCM and to encourage the personalized and precise use of Chinese medicine.
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Registered trials
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.