ArticleActa pharmaceutica Sinica. B2023
ETCM v2.0: An update with comprehensive resource and rich annotations for traditional Chinese medicine.
Article in Acta pharmaceutica Sinica. B, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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63 citing papers in PubMed.
- FuTCM-PDD: a multi-level information fusion framework integrating KAN modeling and AutoML for phenotype-based drug discovery from Traditional Chinese Medicine.Chinese medicine · 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
- Integrative multi-omics reveals MHC class II-mediated neuroinflammation and systemic metabolic dysregulation as transdiagnostic drivers in major brain disorders.Translational psychiatry · 2026Article
- Huashi Baidu formula may attenuate adriamycin-induced myocardial injury via modulating NRF2-ATF3-SRXN1 axis-mediated ferroptosis.Chinese herbal medicines · 2026Article
- Revolutionizing drug discovery from natural products: The roles of artificial intelligence and multi-omics in accelerating innovation.Acta pharmaceutica Sinica. B · 2026Article
- Mechanisms of pruritus and advances in traditional Chinese medicine therapy (Review).Molecular medicine reports · 2026Review
- Pan-Cancer Bioinformatics-Guided Evaluation of San-Huang-Xie-Xin-Tang Identifies Kidney Renal Clear Cell Carcinoma as a Potentially Responsive Cancer Type.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Exploring the global mosaic of medicinal plant databases: unveiling nature's pharmacopoeia.Natural products and bioprospecting · 2026Review
- Decoding shared pathogenic networks of oxidative stress in neuropsychiatric disorders to prioritize multi-target therapeutics from natural products.Cell biology and toxicology · 2026Article
- Elucidating the pharmacological mechanism of Yangming-Kaixin-Yizhi formula in inhibiting neuronal ferroptosis via Nrf2 in Alzheimer's disease: a study combining network pharmacology, transcriptomics, and experimental validation.Metabolic brain disease · 2026Article
- Advancing the modernization of traditional Chinese medicine through artificial intelligence and multimodal data integration.Chinese medicine · 2026Review
- TCMToxDB: a comprehensive database for the toxicological analysis of traditional Chinese medicines.Database : the journal of biological databases and curation · 2026Article
- Huangqin decoction disrupts energy metabolism of Trichophyton rubrum, with isocitrate lyase as a potential target.Scientific reports · 2026Article
- Salidroside attenuates calcium oxalate-induced renal injury via suppression of PANoptosis.Urolithiasis · 2026Article
- Industrializing traditional medical knowledge in China: an integrated governance framework for addressing institutional fragmentation.Frontiers in public health · 2026Article
- From fragmented innovation to an integrated plant-to-product framework: integrated digital twins and artificial intelligence approaches in phytomedicine.Frontiers in pharmacology · 2026Article
- Artificial Intelligence in Traditional Chinese Medicine: Unraveling Herbal Medicine's Mechanisms.Research (Washington, D.C.) · 2026Review
- Deciphering the Multi-Target Therapeutic Mechanisms of Traditional Chinese Medicine Against Alzheimer's Disease: A Network Pharmacology Perspective.Drug design, development and therapy · 2026Review
- Technical guidelines for non-clinical pharmacological research of traditional Chinese medicine (TCM) formulae.Chinese medicine · 2025Review
- XuanHuGPT: parameter-efficient fine-tuning of large language model in the field of traditional Chinese medicine.Chinese medicine · 2025Article
3 more citing papers are in PubMed but not listed here.
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19 authors.
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Abstract
Existing traditional Chinese medicine (TCM)-related databases are still insufficient in data standardization, integrity and precision, and need to be updated urgently. Herein, an Encyclopedia of Traditional Chinese Medicine version 2.0 (ETCM v2.0, http://www.tcmip.cn/ETCM2/front/#/) was constructed as the latest curated database hosting 48,442 TCM formulas recorded by ancient Chinese medical books, 9872 Chinese patent drugs, 2079 Chinese medicinal materials and 38,298 ingredients. To facilitate the mechanistic research and new drug discovery, we improved the target identification method based on a two-dimensional ligand similarity search module, which provides the confirmed and/or potential targets of each ingredient, as well as their binding activities. Importantly, five TCM formulas/Chinese patent drugs/herbs/ingredients with the highest Jaccard similarity scores to the submitted drugs are offered in ETCM v2.0, which may be of significance to identify prescriptions/herbs/ingredients with similar clinical efficacy, to summarize the rules of prescription use, and to find alternative drugs for endangered Chinese medicinal materials. Moreover, ETCM v2.0 provides an enhanced JavaScript-based network visualization tool for creating, modifying and exploring multi-scale biological networks. ETCM v2.0 may be a major data warehouse for the quality marker identification of TCMs, the TCM-derived drug discovery and repurposing, and the pharmacological mechanism investigation of TCMs against various human diseases.
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