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July 21, 2025PharmaceuticalsOpen Access

Network Pharmacology-Driven Sustainability: AI and Multi-Omics Synergy for Drug Discovery in Traditional Chinese Medicine

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Authors

LYLifang YangHWHanye WangZZZhiyao Zhu

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Overview

This review reveals a framework that enhances drug discovery through AI and network pharmacology in traditional Chinese medicine, indicating a sustainable approach to bioactive compound screening.

Key Points

  • Traditional Chinese medicine relies on multi-component therapies, yet its drug discovery faces sustainability challenges.
  • Integrating AI and multi-omics with network pharmacology addresses resource consumption while enhancing drug discovery efficiency.
  • A systematic review of 7288 publications outlines workflows for integrating NP, AI, and omics in natural product research.
  • The proposed framework connects traditional medicine knowledge with modern drug development, potentially benefiting healthcare systems.

Cite This Study

Yang et al. (2025) studied this question.

synapsesocial.com/papers/689a0614e6551bb0af8cd4fehttps://doi.org/10.3390/ph18071074
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