鉴定(生物学)
数据科学
精密医学
中医药
计算机科学
传统医学
计算生物学
医学
生物
替代医学
植物
病理
作者
Ye‐Ting Zhou,Lu Zhao,Yi Wang
出处
期刊:PubMed
[National Institutes of Health]
日期:2025-07-01
卷期号:50 (13): 3657-3669
被引量:1
标识
DOI:10.19540/j.cnki.cjcmm.20250512.701
摘要
The study of active substances in traditional Chinese medicine(TCM) is the foundation of TCM pharmacology, TCM quality control, and new drug development, and it is also one of the most popular directions in TCM modernization research in recent years. Due to their diverse chemical compositions and complex component-effect relationships, Chinese medicines often require the comprehensive use of multidisciplinary technologies such as chemistry, biology, and information science to reveal their active substances and targets. In this paper, we review the innovative breakthroughs made in the past 30 years in the discovery strategies and technological means for the research of active substances in traditional Chinese medicine from the perspective of technological changes, and focus on the new direction of the research of active substances in traditional Chinese medicine under the paradigm shift of scientific research brought about by artificial intelligence, with the aim of promoting research in related fields to move in the direction of more accurate, efficient, and intelligent, and providing innovative ideas for the research of active substances in traditional Chinese medicine under the new situation.
科研通智能强力驱动
Strongly Powered by AbleSci AI