ArticleChinese medicine2024
TCMNPAS: a comprehensive analysis platform integrating network formulaology and network pharmacology for exploring traditional Chinese medicine.
Article in Chinese medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Research advances on Cordyceps sinensis and its components in relation to omics biomarkers for the neurological disorders.Die Naturwissenschaften · 2026Review
- Integrating Animal Experiments, Bioinformatics and Molecular Dynamics Stimulations to Explore the Potential Mechanism of Songyang Duanwu Tea Improving Metabolic Syndrome.Combinatorial chemistry & high throughput screening · 2026Article
- Advanced 3PM strategies in traditional Chinese medicine gels for wound healing integrating 3D/4D printing, network pharmacology and multiomics technologies.The EPMA journal · 2025Review
- Study on the Mechanism and Dose-Effect Relationship of Flavonoids in Different Extracts of Radix Hedysari Against Gastrointestinal Injury Induced by Chemotherapy.Pharmaceuticals (Basel, Switzerland) · 2025Article
- SinoMedminer: an R package and shiny application for mining and visualizing traditional Chinese medicine herbal formulas.Chinese medicine · 2025Article
- Investigation of the mechanism of Xiaoyin Jiedu Yin in the treatment of psoriasis based on bioinformatics, machine learning.Frontiers in chemistry · 2025Article
- Exploration of compatibility rules and discovery of active ingredients in TCM formulas by network pharmacology.Chinese herbal medicines · 2024Review
- G protein-coupled receptors and traditional Chinese medicine: new thinks for the development of traditional Chinese medicine.Chinese medicine · 2024Review
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Authors and funding
8 authors.
Funding
Abstract
The application of network formulaology and network pharmacology has significantly advanced the scientific understanding of traditional Chinese medicine (TCM) treatment mechanisms in disease. The field of herbal biology is experiencing a surge in data generation. However, researchers are encountering challenges due to the fragmented nature of the data and the reliance on programming tools for data analysis. We have developed TCMNPAS, a comprehensive analysis platform that integrates network formularology and network pharmacology. This platform is designed to investigate in-depth the compatibility characteristics of TCM formulas and their potential molecular mechanisms. TCMNPAS incorporates multiple resources and offers a range of functions designed for automated analysis implementation, including prescription mining, molecular docking, network pharmacology analysis, and visualization. These functions enable researchers to analyze and obtain core herbs and core formulas from herbal prescription data through prescription mining. Additionally, TCMNPAS facilitates virtual screening of active compounds in TCM and its formulas through batch molecular docking, allowing for the rapid construction and analysis of networks associated with "herb-compound-target-pathway" and disease targets. Built upon the integrated analysis concept of network formulaology and network pharmacology, TCMNPAS enables quick point-and-click completion of network-based association analysis, spanning from core formula mining from clinical data to the exploration of therapeutic targets for disease treatment. TCMNPAS serves as a powerful platform for uncovering the combinatorial rules and mechanism of TCM formulas holistically. We distribute TCMNPAS within an open-source R package at GitHub ( https://github.com/yangpluszhu/tcmnpas ), and the project is freely available at http://54.223.75.62:3838/ .
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