Version updates of strategies for drug discovery based on effective constituents of traditional Chinese medicine

药物发现 中医药 鉴定(生物学) 化学成分 医学 传统医学 计算机科学 生物信息学 替代医学 化学 生物 色谱法 植物 病理
作者
Nan Ge,Guangli Yan,Hui Sun,Le Yang,Ling Kong,Ye Sun,Ying Han,Qiqi Zhao,Shuyu Kang,Xijun Wang
出处
期刊:Acupuncture and herbal medicine [Ovid Technologies (Wolters Kluwer)]
卷期号:3 (3): 158-179 被引量:43
标识
DOI:10.1097/hm9.0000000000000071
摘要

The discovery of effective constituents of traditional Chinese medicine (TCM) is an important approach in new drug development. Several well-known drugs, such as artemisinin, berberine, and ephedrine have been developed using this approach. However, the efficacy and safety of TCM, two key issues for drug development based on TCM clinical experience, remain unclear worldwide. The discovery strategy of relevant constituents is the most important step for determining efficacy and safety, which still a key scientific problem that restricts the development of new drugs. Furthermore, TCM formulas used as clinical drugs address a specific TCM syndrome ( Zheng ), and the complexity of the formula and vagueness of the syndrome make the identification of the effective constituents related to clinical effectiveness challenging. Over decades, researchers have developed transdisciplinary technologies and research methodologies to identify effective constituents in vivo . In this paper, the history of strategy development for identifying the effective constituents related to the clinical efficacy of TCM is reviewed and summarized. The main approaches include the phytochemical method, which involves the classical systematic separation and screening (extraction, separation, purification, structure identification, and activity test); bioactivity-guided separation; serum pharmacochemistry of TCM in vivo ; and Chinmedomics, which connects in vivo constituents with the biomarkers of the relevant TCM syndrome. Chinmedomics is a promising strategy that conforms to the theory and characteristics of TCM. By clarifying the effective constituents, targets and pathways of medicines, it can promote the discovery of lead compounds and the research of innovative drugs, and continuously promote the modernization of TCM. Graphical abstract: http://links.lww.com/AHM/A64.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
周新瑞发布了新的文献求助10
1秒前
1秒前
慢慢的地理人完成签到,获得积分10
2秒前
欧克完成签到,获得积分10
2秒前
科研通AI6.2应助xiaoxiao31996采纳,获得50
3秒前
5秒前
周老八完成签到,获得积分10
5秒前
6秒前
7秒前
田様应助界徐盛女粉丝采纳,获得10
7秒前
7秒前
俊逸的真发布了新的文献求助10
9秒前
molihuakai应助白宇采纳,获得10
10秒前
10秒前
苏沐秋秋发布了新的文献求助10
10秒前
10秒前
skye发布了新的文献求助10
11秒前
今后应助满意百川采纳,获得10
12秒前
celina完成签到,获得积分10
12秒前
13秒前
13秒前
13秒前
Astraeus发布了新的文献求助10
13秒前
小宇完成签到 ,获得积分10
16秒前
16秒前
小马甲应助Wcy采纳,获得10
16秒前
星星完成签到 ,获得积分10
17秒前
Owen应助友好听双采纳,获得10
18秒前
lmfffff发布了新的文献求助10
18秒前
爆米花应助曾不问东山采纳,获得10
18秒前
大胆十三发布了新的文献求助10
19秒前
20秒前
Lucas应助尹小末采纳,获得10
21秒前
21秒前
22秒前
充电宝应助慈父的微笑采纳,获得10
23秒前
23秒前
闪闪易烟应助陈贞月采纳,获得10
24秒前
王杰希完成签到,获得积分10
25秒前
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 800
Pulse width control of a 3-phase inverter with non sinusoidal phase voltages 777
Signals, Systems, and Signal Processing 610
A Social and Cultural History of the Hellenistic World 500
Chemistry and Physics of Carbon Volume 15 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6397981
求助须知:如何正确求助?哪些是违规求助? 8213367
关于积分的说明 17402975
捐赠科研通 5451294
什么是DOI,文献DOI怎么找? 2881262
邀请新用户注册赠送积分活动 1857843
关于科研通互助平台的介绍 1699854