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Systems pharmacology approaches in herbal medicine research: A brief review
Myunggyo Lee1 (Graduate student), Hyejin Shin1 (Graduate student), Musun Park1 (Graduate student), Aeyung Kim1 (Graduate student), Seongwon Cha1 (Graduate student), Haeseung Lee1,* (Professor)
1College of Pharmacy, Pusan National University, Busan, 46241, Korea,
2Korean Medicine (KM) Convergence Research Division and 3Korean Medicine (KM) Data Division, Korea Institute of Oriental Medicine, Daejeon 34054, Republic of Korea,
4Korean Medicine (KM) Application Center, Korea Institute of Oriental Medicine, Daegu 41062, Republic of Korea
Herbal medicine, a multi-component treatment, has been extensively practiced for treating various symptoms and diseases. However, its molecular mechanism of action on the human body is unknown, which impedes the development and application of herbal medicine. To address this, recent studies are increasingly adopting systems pharmacology, which interprets pharmacological effects of drugs from consequences of the interaction networks that drugs might have. Most conventional network-based approaches collect associations of herb-compound, compound-target, and target-disease from individual databases, respectively, and construct an integrated network of herb-compound-target-disease to study the complex mechanisms underlying herbal treatment. More recently, rapid advances in high-throughput omics technology have led numerous studies to exploring gene expression profiles induced by herbal treatments to elicit information on direct interactions between herbs and genes at the genome-wide scale. In this review, we summarize key databases and computational methods utilized in systems pharmacology for studying herbal medicine. We also highlight recent studies that identify modes of action or novel indications of herbal medicine by harnessing drug-induced transcriptome data.
Abstract, Accepted Manuscript [Submitted on June 21, 2022, Accepted on July 21, 2022]
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