透视图(图形)
计算机科学
中医药
人工智能
机制(生物学)
数据科学
医学
替代医学
哲学
认识论
病理
作者
Peng Zhang,Dingfan Zhang,Wuai Zhou,Lan Wang,Boyang Wang,Tingyu Zhang,Shao Li
摘要
Abstract Network pharmacology (NP) provides a new methodological perspective for understanding traditional medicine from a holistic perspective, giving rise to frontiers such as traditional Chinese medicine network pharmacology (TCM-NP). With the development of artificial intelligence (AI) technology, it is key for NP to develop network-based AI methods to reveal the treatment mechanism of complex diseases from massive omics data. In this review, focusing on the TCM-NP, we summarize involved AI methods into three categories: network relationship mining, network target positioning and network target navigating, and present the typical application of TCM-NP in uncovering biological basis and clinical value of Cold/Hot syndromes. Collectively, our review provides researchers with an innovative overview of the methodological progress of NP and its application in TCM from the AI perspective.
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