A focus on harnessing big data and artificial intelligence: revolutionizing drug discovery from traditional Chinese medicine sources

被引：3
|
作者：
Li, Mingyu [1 ]
Zhang, Jian [1 ,2 ]
机构：
[1] Shanghai Jiao Tong Univ, Ruijin Hosp, Natl Res Ctr Translat Med Shanghai, State Key Lab Med Genom,Sch Med, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Sch Med, Med Chem & Bioinformat Ctr, Shanghai 200025, Peoples R China
来源：
CHEMICAL SCIENCE | 2023年 / 14卷 / 39期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1039/d3sc90185h
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
The advent of big data-driven artificial intelligence (AI) modeling has profoundly impacted the realm of drug discovery. Chen et al. (Q. Lv et al., Chem. Sci., 2023, https://doi.org/10.1039/D3SC02139D) have paved a way for modern drug discovery from traditional Chinese medicine (TCM) sources through their efforts over the past decade. They achieved this by creating TCMBank, the most extensive systematic central resource for TCM, which integrates standardized TCM-related big data and streamlines the AI-based drug discovery process.
引用
收藏
页码：10628 / 10630
页数：3
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