Exploring Anti-osteoporosis Medicinal Herbs using Cheminformatics and Deep Learning Approaches.

Journal: Combinatorial chemistry & high throughput screening
Published Date: Jan 1, 2023

Abstract

BACKGROUND: Osteoporosis is a prevalent disease for the aged population. Chinese herbderived natural compounds have anti-osteoporosis effects. Due to the complexity of chemical ingredients and natural products, it is necessary to develop a high-throughput approach with the integration of cheminformatics and deep-learning methods to explore their mechanistic action, especially herb/drug-gene interaction networks.

Authors

  • Ziying Lin
    Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China.
  • Shengjun Wang
    Department of Traditional Chinese Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, 341000, China.
  • Zhihong Liu
    National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
  • Bingdong Liu
    State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou, 510070, China.
  • Liwei Xie
    State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangdong Open Laboratory of Applied Microbiology, Guangdong Institute of Microbiology, Guangdong Academy of Sciences, 100 Xianlie Middle Road, Guangzhou 510070, China.
  • Jingwei Zhou
    Institute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.

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