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Systems pharmacology approaches in herbal medicine research: a brief review

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Herbal medicine, a multi-component treatment, has been extensivelypracticed for treating various symptoms and diseases. However, its molecular mechanism of action on the humanbody is unknown, which impedes the development and applicationof herbal medicine. To address this, recent studies areincreasingly adopting systems pharmacology, which interpretspharmacological effects of drugs from consequences of the interactionnetworks 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 underlyingherbal treatment. More recently, rapid advances in highthroughputomics technology have led numerous studies to exploringgene expression profiles induced by herbal treatmentsto elicit information on direct associations between herbs andgenes at the genome-wide scale. In this review, we summarizekey databases and computational methods utilized in systemspharmacology for studying herbal medicine. We also highlightrecent studies that identify modes of action or novel indicationsof herbal medicine by harnessing drug-induced transcriptomedata.

Abstract

Herbal medicine, a multi-component treatment, has been extensivelypracticed for treating various symptoms and diseases. However, its molecular mechanism of action on the humanbody is unknown, which impedes the development and applicationof herbal medicine. To address this, recent studies areincreasingly adopting systems pharmacology, which interpretspharmacological effects of drugs from consequences of the interactionnetworks 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 underlyingherbal treatment. More recently, rapid advances in highthroughputomics technology have led numerous studies to exploringgene expression profiles induced by herbal treatmentsto elicit information on direct associations between herbs andgenes at the genome-wide scale. In this review, we summarizekey databases and computational methods utilized in systemspharmacology for studying herbal medicine. We also highlightrecent studies that identify modes of action or novel indicationsof herbal medicine by harnessing drug-induced transcriptomedata.

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