鉴定(生物学)
计算生物学
药物发现
生化工程
自然(考古学)
计算机科学
生物
生物信息学
工程类
生态学
古生物学
作者
Xuan Jiang,Kinyu Shon,Xiaofeng Li,Guoliang Cui,Yuanyuan Wu,Zhonghong Wei,Aiyun Wang,Xiaoman Li,Yin Lu
出处
期刊:Heliyon
[Elsevier BV]
日期:2024-06-29
卷期号:10 (13): e33917-e33917
被引量:1
标识
DOI:10.1016/j.heliyon.2024.e33917
摘要
Natural products exhibit structural complexity, diversity, and historical therapeutic significance, boasting attractive functions and biological activities that have significantly influenced drug discovery endeavors. The identification of target proteins of active natural compounds is crucial for advancing novel drug innovation. Currently, methods for identifying targets of natural products can be categorized into labeling and label-free approaches based on whether the natural bioactive constituents are modified into active probes. In addition, there is a new avenue for rapidly exploring the targets of natural products based on their innate functions.
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