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Systematic synergy modeling: understanding drug synergy from a systems biology perspective
Chen, Di1; Liu, Xi1; Yang, Yiping1; Yang, Hongjun2; Lu, Peng1,2; Lu,Peng
2015-09-16
发表期刊BMC SYSTEMS BIOLOGY
卷号9期号:2015页码:56
文章类型Review
摘要Owing to drug synergy effects, drug combinations have become a new trend in combating complex diseases like cancer, HIV and cardiovascular diseases. However, conventional synergy quantification methods often depend on experimental dose-response data which are quite resource-demanding. In addition, these methods are unable to interpret the explicit synergy mechanism. In this review, we give representative examples of how systems biology modeling offers strategies toward better understanding of drug synergy, including the protein-protein interaction (PPI) network-based methods, pathway dynamic simulations, synergy network motif recognitions, integrative drug feature calculations, and "omic"-supported analyses. Although partially successful in drug synergy exploration and interpretation, more efforts should be put on a holistic understanding of drug-disease interactions, considering integrative pharmacology and toxicology factors. With a comprehensive and deep insight into the mechanism of drug synergy, systems biology opens a novel avenue for rational design of effective drug combinations.
关键词Drug Synergy Systematic Modeling
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1186/s12918-015-0202-y
关键词[WOS]COMBINATION THERAPY ; NETWORK MOTIFS ; MULTITARGET DRUGS ; CANCER-CELLS ; PPI NETWORK ; DISCOVERY ; MECHANISMS ; PATHWAY ; DISEASE ; TARGET
收录类别SCI
语种英语
WOS研究方向Mathematical & Computational Biology
WOS类目Mathematical & Computational Biology
WOS记录号WOS:000361283500001
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9010
专题综合信息系统研究中心
通讯作者Yang, Hongjun; Lu,Peng
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.China Acad Chinese Med Sci, Inst Chinese Mat Med, Beijing 100700, Peoples R China
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GB/T 7714
Chen, Di,Liu, Xi,Yang, Yiping,et al. Systematic synergy modeling: understanding drug synergy from a systems biology perspective[J]. BMC SYSTEMS BIOLOGY,2015,9(2015):56.
APA Chen, Di,Liu, Xi,Yang, Yiping,Yang, Hongjun,Lu, Peng,&Lu,Peng.(2015).Systematic synergy modeling: understanding drug synergy from a systems biology perspective.BMC SYSTEMS BIOLOGY,9(2015),56.
MLA Chen, Di,et al."Systematic synergy modeling: understanding drug synergy from a systems biology perspective".BMC SYSTEMS BIOLOGY 9.2015(2015):56.
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