TCM2COVID in 2024: Enhanced Data on Traditional Chinese Medicine Formulas and Knowledge Graph for COVID-19
DOI:
https://doi.org/10.47852/bonviewMEDIN52024764Keywords:
COVID-19, traditional Chinese medicine, herb, natural product, knowledge graphAbstract
Despite the fact that five years have passed since the outbreak of COVID-19, the coronavirus continues to coexist with our lives, making ongoing attention to COVID-19 important for understanding its transmission mechanisms, optimizing prevention and control strategies, and promoting the formulation of public health policies. Meanwhile, traditional Chinese medicine remains actively involved in the prevention and treatment of COVID-19. As a result, our team has continued to collect data on traditional Chinese formulas and natural products for this purpose and has released a new version of TCM2COVID in 2024. This version documents more than 300 traditional Chinese medicine formulas, includes over 320 herbs and more than 90 natural products, and incorporates data on ingredients, ingredient-related targets, diseases, and disease-related targets. On this basis, an online tool has been integrated, featuring a “Formula-Herb-Disease multi-level Knowledge Graph Network” to assist users in conveniently browsing and querying relevant knowledge. In conclusion, TCM2COVID in 2024 offers a more comprehensive and user-friendly resource platform to facilitate continued research on the COVID-19 pandemic. TCM2COVID in 2024 can be accessed for free at https://cellknowledge.com.cn/tcm2covid/.
Received: 9 November 2024 | Revised: 4 January 2025 | Accepted: 18 March 2025
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
Data Availability Statement
TCM2COVID in 2024 is publicly accessible and available free of charge at the following URL: https://cellknowledge.com.cn/tcm2covid/.
Author Contribution Statement
Xianrun Pan: Methodology, Software, Formal analysis, Investigation, Data curation, Writing – original draft, Writing – review & editing, Visualization. Yang Zhang: Conceptualization, Methodology, Resources, Writing – original draft, Writing – review & editing, Supervision, Project administration, Funding acquisition. Jian Huang: Resources, Supervision, Project administration, Funding acquisition. Liping Ren: Conceptualization, Software, Visualization, Supervision, Project administration, Funding acquisition.
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Funding data
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National Natural Science Foundation of China
Grant numbers 62471071;62202069 -
Natural Science Foundation of Sichuan Province
Grant numbers 2023NSFSC0678