title: Network pharmacology: a Rosetta Stone for traditional Chinese medicine.
abstract: Network pharmacology, based on the theory of systems biology, is a new discipline that analyzes the biological network and screens out the nodes of particular interest, with the aim of designing poly-target drug molecule. It emphasizes maximizing drug efficacy and minimizing adverse effect via the multiple regulation of the signaling pathway. Coincidentally, almost all traditional Chinese medicine (TCM) and worldwide ethnomedicine exert therapeutic effect by targeting multiple molecules of the human body. In this overview, we offer a critique on the present perception of TCM and network pharmacology; illustrate the utility of network pharmacology in the study of single herb, medicine pair, and TCM formula; and summarize the recent progress of TCM-based drug discovery inspired by network pharmacology. Network pharmacology could be of great help in decreasing drug attrition rate and thus is essential in rational and cost-effective drug development. We also pinpoint the current TCM issues that could be tackled by the flexible combined use of network pharmacology and relevant disciplines.
authors.affiliation: Biotechnology Institute, School of Environment and Chemical Engineering, Dalian Jiaotong University, Dalian, 116028, China.
authors.forename: Da Cheng
authors.initials: da C
authors.lastname: Hao
authors.forename: Pei Gen
authors.initials: PG
authors.lastname: Xiao
mesh_terms: D000465:Algorithms; D000818:Animals; D062126:Databases, Chemical; D055808:Drug Discovery; D006801:Humans; D008516:Medicine, Chinese Traditional; D010600:Pharmacology / Q000379:methods*; D010946:Plants, Medicinal; D049490:Systems Biology
keywords: drug discovery; network pharmacology; traditional Chinese medicine (TCM)