Suppr超能文献

[中药网络药理学:在网络药理学评价方法指导下的新时代发展]

[Traditional Chinese medicine network pharmacology: development in new era under guidance of network pharmacology evaluation method guidance].

作者信息

Wang Zi-Yi, Wang Xin, Zhang Dai-Yan, Hu Yuan-Jia, Li Shao

机构信息

Ministry of Education Key Laboratory of Bioinformatics/Bioinformatics Division, Beijing National Research Center for Information Science and Technology, Department of Automation, Institute of Traditional Chinese Medicine-X, Tsinghua University Beijing 100084, China.

State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau Macau 999078, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2022 Jan;47(1):7-17. doi: 10.19540/j.cnki.cjcmm.20210914.702.

Abstract

Traditional Chinese medicine(TCM) has unique advantages in the prevention and treatment of diseases owing to its holistic view and more than 2 000 years of experience in the clinical use of natural medicine. The "holistic" characteristic of TCM gives birth to a new generation of research paradigm featuring "network" and "system", which has been developing rapidly in the era of biomedical big data and artificial intelligence. Network pharmacology, a representative research field, provides new ideas and methods for the research of the interdiscipline of artificial intelligence and medicine, the analysis of massive biomedical data, and the transformation from data to knowledge. TCM plays an important role in proposing the core theory of "network target" and promoting the establishment and development of network pharmacology, and has taken the lead in formulating the first international standard of network pharmacology--Network Pharmacology Evaluation Method Guidance. In terms of theory, network target can systematically link drugs and diseases and quantitatively interpret the overall regulatory mechanism of drugs. In the aspect of method, network pharmacology is developing towards a research model that combines computational, experimental, and clinical approaches. This review introduces the resent important progress of TCM network pharmacology in predicting drug targets, understanding the biological basis of drugs and diseases, and searching for disease and syndrome biomarkers. Under the guidance of Network Pharmacology Evaluation Method Guidance, the development of network pharmacology is expected to become more and more standardized and healthy. Network target will help produce more high-quality research outcomes in TCM and effectively boost the modernization and internationalization of TCM.

摘要

中医凭借其整体观以及两千多年使用天然药物的临床经验,在疾病防治方面具有独特优势。中医的“整体”特性催生了以“网络”和“系统”为特征的新一代研究范式,在生物医学大数据和人工智能时代迅速发展。网络药理学作为一个具有代表性的研究领域,为人工智能与医学交叉学科研究、海量生物医学数据分析以及从数据到知识的转化提供了新的思路和方法。中医在提出“网络靶标”核心理论、推动网络药理学的建立与发展方面发挥了重要作用,并率先制定了网络药理学首个国际标准——《网络药理学评价方法指南》。在理论方面,网络靶标能够系统地将药物与疾病联系起来,并定量阐释药物的整体调控机制。在方法方面,网络药理学正朝着计算、实验和临床方法相结合的研究模式发展。本文综述了中医网络药理学在预测药物靶标、理解药物和疾病的生物学基础以及寻找疾病和证候生物标志物等方面的近期重要进展。在《网络药理学评价方法指南》的指导下,网络药理学有望发展得越来越规范、健康。网络靶标将有助于中医产出更多高质量研究成果,并有效推动中医的现代化和国际化。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验