TCMNPAS

A comprehensive analysis platform for exploring traditional Chinese medicine

Due to TCMNPAS being a computationally intensive web application, multiple entry channels have been opened to alleviate server pressure. Please do not restrict yourself to using a single channel. If a particular entry is unable to log in, it may be due to that channel being under high load. Please try logging in through different entry channels. This system is free to use and is intended solely for academic research purposes.

This system provides video tutorials: [Click here to access]

The Network Pharmacology Special Committee of the World Federation of Chinese Medicine Societies (WFCMS) released the [Network Pharmacology Evaluation Method Guidance] on March 8, 2021.

System Notice [2024-06-23]:

Due to high traffic volume, sessions exceeding 48 hours will be automatically disconnected to maintain system stability.

Item Main Functions TCMNPASv1.0
Data Source Number of herbs 1630
Number of compounds 18090
Number of herb-compound links 48554
Number of compound-target links 324019
Number of herb-compound-target links 3884216
Formula Compounds Active ingredient Drug-Likeness analysis Quantitative Estimate of Drug-Likeness (QED)
Lipinski Rules
Veber Rules
Formula target analysis Binomial enrichment analysis
GO enrichment analysis Gene ontology molecular function, cellular component, and biological process
Formula Mechanisms DO enrichment analysis ✔
KEGG enrichment analysis ✔
Reactome enrichment analysis ✔
Network association analysis ✔
Herb-compound-target network ✔
Molecular Docking Molecular docking ✔
Batch docking ✔
Protein pocket detection ✔
Prescription Mining Core herb ✔
Core formula ✔
Tools ID Conversion ✔
Heatmap ✔
Data visualization ✔

Citations:

  1. Liu, Y., Li, X., Chen, C., et al. (2024). TCMNPAS: a comprehensive analysis platform integrating network pharmacology for exploring traditional Chinese medicine. Chinese medicine, 19(1), 50.
  2. LongHua Hospital Shanghai University of Traditional Chinese Medicine, YangMing. TCM Network Pharmacology Analysis System v1.0[CP/CD], Copyright Registration No., 2019SR1127090.
  3. Yang Ming. (2024). tcmnpas: A comprehensive analysis platform for exploring traditional Chinese medicine. GitHub. https://github.com/yangpluszhu/tcmnpas.

Latest Updates

2025-02-11: Updated KEGG data to Release 113.0, January 1, 2025.
2024-07-25: Updated KEGG data to Release 111.0, July 1, 2024.
2024-01-04: Updated KEGG data to Release 109.0, January 1, 2024.
2023-10-30: Addition of Lipinski and Veber rules for drug-likeness screening.
2023-8-10: English version of TCMNPAS is online.
2023-7-23: Updated reactome.db to current Release v1.84.0.Updated GO.db to current Release v3.17.0.Updated Gene Ontology knowledgebase to 2023-01-01.
2023-7-11: Updated HIPPIE data to current Release v2.3.
2023-7-9: Updated KEGG data to Release 107.0, July 1, 2023.
2023-2-12: Updated GeneCards-malacards disease gene search module.
2022-10-06: Updated KEGG data to Release 104.0, October 1, 2022; added importance scoring based on binomial distribution for key target genes and compounds.
2021-11-26: Fixed mining errors caused by certain prescription input formats in the prescription mining module.
2021-9-23: Updated clusterProfiler to v4.0.2 and fixed some errors that occurred after the update.
2021-8-11: Updated KEGG data to Release 99.1, August 1, 2021.
2020-11-23: Batch docking module supports multiple docking parameters for the same protein. Corrected errors in CUSTOM target database where gene IDs for certain components were 0.
2020-10-13: Updated KEGG data to Release 96.0, October 1, 2020.