SynthesisFrontiers in pharmacology2024
A critical assessment of Traditional Chinese Medicine databases as a source for drug discovery.
Synthesis in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
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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
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Therapeutic potentials of plant‑based antioxidants on colorectal cancer: Challenges and perspectives (Review).International journal of oncology · 2025Pooled it
- The Convergence of Biotechnological Strategies in Medicinal Plants: From Individual Approaches Toward an Integrated Systems Framework.International journal of molecular sciences · 2026Review
- SM-GAT: a safety-aware multi-task graph attention network for multi-target anti-diabetic lead discovery from natural products.Frontiers in molecular biosciences · 2026Article
- Molecular dynamics simulation in traditional Chinese medicine research: from molecular mechanisms to multiscale validation.Frontiers in chemistry · 2026Review
- Integrated meta-analysis, network pharmacology and experimental validation to explore the mechanism of traditional Chinese medicine against neonatal pneumonia: focus on naringenin/MAPK1.Frontiers in pediatrics · 2026Article
- Industrializing traditional medical knowledge in China: an integrated governance framework for addressing institutional fragmentation.Frontiers in public health · 2026Article
- Exploring the Mechanism ofCurrent computer-aided drug design · 2026Article
- Assessing biological activities of polyphenols in the context of 4R - challenges of a ubiquitous compound class with complex modes of action.Frontiers in pharmacology · 2026Review
- Article
- Medicinal Phytocompounds as Potential Inhibitors of p300-HIF1α Interaction: A Structure-Based Screening and Molecular Dynamics Simulation Study.Pharmaceuticals (Basel, Switzerland) · 2025Article
- Exploration of the mechanism of Tongmai Jiangzhuo Decoction in treating atherosclerosis based on network pharmacology and experimental validation.American journal of translational research · 2025Article
- HerbComb: An integrated database for the discovery of novel combinational therapies from herbal medicines.Computational and structural biotechnology journal · 2025Article
- De novo in silico screening of natural products for antidiabetic drug discovery: ADMET profiling, molecular docking, and molecular dynamics simulations.In silico pharmacology · 2025Article
- Exploring the Mechanisms of Lijin Fang on Treg/Th17 Cell Imbalance in COPD Based on Network Pharmacology.International journal of chronic obstructive pulmonary disease · 2025Article
- Total flavonoids ofFrontiers in pharmacology · 2025Article
- Diagnostic Features and Prescription Rules of Influenza-Like Illnesses in Traditional Chinese Medicine: A Data Mining Approach.Journal of multidisciplinary healthcare · 2025Article
- Shashen Maidong Decoction's Effects on Chronic Bronchitis: A Multi-Method Approach.Current pharmaceutical design · 2025Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional Chinese Medicine (TCM) has been used for thousands of years to treat human diseases. Recently, many databases have been devoted to studying TCM pharmacology. Most of these databases include information about the active ingredients of TCM herbs and their disease indications. These databases enable researchers to interrogate the mechanisms of action of TCM systematically. However, there is a need for comparative studies of these databases, as they are derived from various resources with different data processing methods. In this review, we provide a comprehensive analysis of the existing TCM databases. We found that the information complements each other by comparing herbs, ingredients, and herb-ingredient pairs in these databases. Therefore, data harmonization is vital to use all the available information fully. Moreover, different TCM databases may contain various annotation types for herbs or ingredients, notably for the chemical structure of ingredients, making it challenging to integrate data from them. We also highlight the latest TCM databases on symptoms or gene expressions, suggesting that using multi-omics data and advanced bioinformatics approaches may provide new insights for drug discovery in TCM. In summary, such a comparative study would help improve the understanding of data complexity that may ultimately motivate more efficient and more standardized strategies towards the digitalization of TCM.
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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.