Decoding herbal medicine: AI-powered omics and network pharmacology
1School of Pharmacy, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, Hunan 410013, China; Zhejiang Provincial Key Laboratory of Anti-Cancer Chinese Medicines and Natural Medicines, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China; Department of Pharmacy, Hunan University of Medicine General Hospital, Huaihua, Hunan 418000, China.
Summary
Artificial intelligence (AI), life omics, and network pharmacology are revolutionizing herbal medicine (HM) research. These advanced technologies help understand HM complexity and develop new treatments for complex diseases.
Area of Science:
- Integrative Medicine
- Computational Biology
- Pharmacology
Background:
- Herbal medicines (HMs) are vital for complex diseases, but their chemical complexity poses research challenges.
- Evolving global health demands increased scientific interest in HMs.
Purpose of the Study:
- To review advancements in AI, life omics, and network pharmacology for HM research.
- To explore the role of HMs in managing complex diseases using interdisciplinary technologies.
Main Methods:
- Searched electronic databases (Google Scholar, PubMed, Web of Science, CNKI, WANFANG) from 2008-2024.
- Used keywords: "Herbal Medicines", "Artificial intelligence", "Network pharmacology", "life omics".
- Followed PRISMA guidelines for systematic review.
Main Results:
- AI aids in identifying active compounds, understanding mechanisms, and assessing toxicity of HMs.
- Life omics (genomics, transcriptomics, metabolomics, proteomics) elucidate HM components and biological networks.
- Network pharmacology enables drug-target-disease network construction and effect prediction.
Conclusions:
- Interdisciplinary technologies enhance understanding of HM efficacy and safety.
- Further research is needed to clarify HM mechanisms and modernize their application.
- This review offers guidance for advancing HM research and integrating them into modern healthcare.
Keywords:
Artificial intelligenceHerbal medicines researchIntegration across disciplinesLife omics technologyNetwork pharmacology

