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:
- 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.
- LongHua Hospital Shanghai University of Traditional Chinese Medicine, YangMing. TCM Network Pharmacology Analysis System v1.0[CP/CD], Copyright Registration No., 2019SR1127090.
- Yang Ming. (2024). tcmnpas: A comprehensive analysis platform for exploring traditional Chinese medicine. GitHub. https://github.com/yangpluszhu/tcmnpas.
Latest Updates
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.