Multi-target meridians classification based on the topological structure of anti-cancer phytochemicals using deep learning.

Journal: Journal of ethnopharmacology
PMID: 37777031

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE: Traditional Chinese medicine (TCM) meridian is the key theoretical guidance of prescription against tumor in clinical practice. However, there is no scientific and systematic verification of therapeutic action of herbs under meridians context. Several studies have determined the Chinese herbal medicine (CHM) phytochemicals for intrinsic attribute or meridians classification based on artificial intelligence (AI) tools. However, it is challenging to represent the complex molecular structures with large heterogeneity through the current technologies. In addition, the multiple correspondence between herbs and meridians has not been paid much attention.

Authors

  • Sheng Zhang
    Department of Critical Care Medicine, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Taizhou, China.
  • Xianwei Zhang
    Department of Pharmacology, University of California, Davis, California, USA.
  • Jiayin Du
    School of Pharmacy, Chongqing University, Chongqing, 400044, PR China. Electronic address: 20191801594@cqu.edu.cn.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Xitian Pi
    Key Laboratory of Biorheological Science and Technology of Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China; Chongqing Engineering Technology Research Center of Medical Electronic, Chongqing, 400030, People's Republic of China. Electronic address: pixitian@cqu.edu.cn.

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