2023
DOI: 10.1093/bib/bbad518
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Network pharmacology: towards the artificial intelligence-based precision traditional Chinese medicine

Peng Zhang,
Dingfan Zhang,
Wuai Zhou
et al.

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 categ… Show more

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Cited by 27 publications
(8 citation statements)
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References 110 publications
(113 reference statements)
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“…Therefore, this study investigated whether SB is a promising multicomponent material that can ameliorate the multi-pathology of OA through computational prediction and experimental validation. For pharmacological prediction, we used network pharmacology analysis, a technique that predicts the complex relationships between multiple components and multiple targets in natural products from a network science perspective [29][30][31][32][33][34][35]. This method allows more precise predictive information to be derived about the drug-targetdisease relationship, which provides the basis for designing optimized experiments to explore the mechanisms of action of multicomponent herbal medicines, including SB.…”
Section: Of 32mentioning
confidence: 99%
“…Therefore, this study investigated whether SB is a promising multicomponent material that can ameliorate the multi-pathology of OA through computational prediction and experimental validation. For pharmacological prediction, we used network pharmacology analysis, a technique that predicts the complex relationships between multiple components and multiple targets in natural products from a network science perspective [29][30][31][32][33][34][35]. This method allows more precise predictive information to be derived about the drug-targetdisease relationship, which provides the basis for designing optimized experiments to explore the mechanisms of action of multicomponent herbal medicines, including SB.…”
Section: Of 32mentioning
confidence: 99%
“…Network pharmacology is suitable for exploring the relationship between drugs and diseases. By constructing a “disease–gene–pathway– drug” network to analyze therapeutic targets and pathways, it has comprehensive and holistic characteristics [ 53 ].…”
Section: Introductionmentioning
confidence: 99%
“…As a combination of network science, artificial intelligence and multi-omics, network target was proposed by Li [10][11][12] to uncover the complex role of TCM in the treatment of diseases. From the perspective of systemic biology and medicine 13,14 , network target has been continuously developing and succeeded in many aspects of TCM researches, including revealing mechanism of TCM 15 , discovering biomarkers 16 and determining efficacy compounds 17,18 .…”
Section: Introductionmentioning
confidence: 99%