专注于利用大数据和人工智能：革新源自中药的药物发现。
A focus on harnessing big data and artificial intelligence: revolutionizing drug discovery from traditional Chinese medicine sources.
作者信息
Li Mingyu, Zhang Jian
机构信息
State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China
Medicinal Chemistry and Bioinformatics Center, Shanghai Jiao Tong University School of Medicine Shanghai 200025 China.
出版信息
Chem Sci. 2023 Sep 26;14(39):10628-10630. doi: 10.1039/d3sc90185h. eCollection 2023 Oct 11.
The advent of big data-driven artificial intelligence (AI) modeling has profoundly impacted the realm of drug discovery. Chen (Q. Lv , , 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.
大数据驱动的人工智能（AI）建模的出现对药物发现领域产生了深远影响。陈（Q. Lv等人，2023年，https://doi.org/10.1039/D3SC02139D）在过去十年中通过努力为从中药来源进行现代药物发现铺平了道路。他们通过创建中药库实现了这一目标，中药库是最广泛的系统性中药核心资源，它整合了标准化的中药相关大数据，并简化了基于人工智能的药物发现过程。
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