ReviewFrontiers in pharmacology2019
Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment.
Review in Frontiers in pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 616 papers, 1 of them a synthesis 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
616 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Tart cherry intake and serum uric acid: Meta-analysis of randomized controlled trials and evidence from network pharmacology.Asia Pacific journal of clinical nutrition · 2026Pooled it
- Preclinical and clinical studies on Qin-Zhu-Liang-Xue decoction: insights from network pharmacology and implications for atopic dermatitis treatment.Frontiers of medicine · 2025Trial
- Revealing the bioactive components and possible mechanism of Tongbi Lingding in the treatment of osteoarthritis based on UPLC-MS/MS, network pharmacology, transcriptomics, molecular docking, and experimental validation.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Exploring the Neuroprotective Effects of Walnut (International journal of molecular sciences · 2026Article
- An NLRP3 inflammasome-anchored Astragalus mechanistic prior yields a mortality-associated transcriptomic signal in ICU sepsis: a secondary analysis with exploratory cross-cohort assessment.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Article
- Drug Design Studio (DDS) 2.0: A Unified Platform for Network Pharmacology Integrated with Docking and Virtual Screening Workflow for Covalent/Non-Covalent Binders.International journal of molecular sciences · 2026Article
- Cross-Cohort Transcriptomic Prioritization and Chemical-Provenance Assessment of Asthma Airway-Brushing Genes Overlapping HERB-AnnotatedInternational journal of molecular sciences · 2026Article
- Current evidence and emerging therapeutic strategies for non-exercise interventions in sarcopenia associated with chronic obstructive pulmonary disease: a narrative review.Journal of thoracic disease · 2026Review
- Cross-Cohort, Renal Compartment-Aware Transcriptomic Assessment of Lycii Fructus-Annotated Targets in Diabetic Kidney Disease.Current issues in molecular biology · 2026Article
- Integrated Metabolomics, Network Pharmacology, and Molecular Dynamics Simulations Reveal the Potential Anti-Melanoma Mechanisms ofCurrent issues in molecular biology · 2026Article
- Risk-Aware Computational Prioritization and Validation Route Design for Medicine-Food Homology Plant Compounds in a Parkinson's Disease Context.Biotech (Basel (Switzerland)) · 2026Article
- TCM-Agent: Advancing network pharmacology and herbal medicine discovery with LLM-based multi-agent systems.Journal of pharmaceutical analysis · 2026Article
- Precision engineering of anti-atherosclerotic herbal nanomedicine: from machine learning-aided active components screening to optimized metal-phenolic network codelivery.Drug delivery and translational research · 2026Article
- Pomegranate Peel Polyphenol Extract Ameliorates Hyperuricemia by Inhibiting Uric Acid Synthesis and Reabsorption.Chemical biology & drug design · 2026Article
- Phytochemical Characterization ofFood science & nutrition · 2026Article
- A Comprehensive Review on Irinotecan-Induced Delayed Diarrhea: From Mechanisms to Therapeutic Options.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Anti-osteoporotic potential of Lawsonia inermis leaf extract: integration of network pharmacology, molecular docking, and experimental validation in ovariectomized rats.Inflammopharmacology · 2026Article
- IntegrativeNutrients · 2026Article
- Integrated Network Pharmacology and Cross-Species Analysis Suggest a Potential Role of AKT1/HIF1A Axis in Shuanghuanglian for Pneumonia-Myocarditis Comorbidity.Veterinary sciences · 2026Article
- GHF-ACL: A novel contrastive learning framework with multi-order graph structures for herb-disease association prediction.PLoS computational biology · 2026Article
556 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The research field of systems biology has greatly advanced and, as a result, the concept of network pharmacology has been developed. This advancement, in turn, has shifted the paradigm from a "one-target, one-drug" mode to a "network-target, multiple-component-therapeutics" mode. Network pharmacology is more effective for establishing a "compound-protein/gene-disease" network and revealing the regulation principles of small molecules in a high-throughput manner. This approach makes it very powerful for the analysis of drug combinations, especially Traditional Chinese Medicine (TCM) preparations. In this work, we first summarized the databases and tools currently used for TCM research. Second, we focused on several representative applications of network pharmacology for TCM research, including studies on TCM compatibility, TCM target prediction, and TCM network toxicology research. Third, we compared the general statistics of several current TCM databases and evaluated and compared the search results of these databases based on 10 famous herbs. In summary, network pharmacology is a rational approach for TCM studies, and with the development of TCM research, powerful and comprehensive TCM databases have emerged but need further improvements. Additionally, given that several diseases could be treated by TCMs, with the mediation of gut microbiota, future studies should focus on both the microbiome and TCMs to better understand and treat microbiome-related diseases.
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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.