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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
Source PublicationBMC SYSTEMS BIOLOGY
2015-09-16
Volume9Issue:2015Pages:56
SubtypeReview
AbstractOwing 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.
KeywordDrug Synergy Systematic Modeling
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1186/s12918-015-0202-y
WOS KeywordCOMBINATION THERAPY ; NETWORK MOTIFS ; MULTITARGET DRUGS ; CANCER-CELLS ; PPI NETWORK ; DISCOVERY ; MECHANISMS ; PATHWAY ; DISEASE ; TARGET
Indexed BySCI
Language英语
WOS Research AreaMathematical & Computational Biology
WOS SubjectMathematical & Computational Biology
WOS IDWOS:000361283500001
Citation statistics
Cited Times:12[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9010
Collection综合信息系统研究中心
Corresponding AuthorYang, Hongjun; Lu,Peng
Affiliation1.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
Recommended Citation
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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