Systematic synergy modeling: understanding drug synergy from a systems biology perspective | |
Chen, Di1; Liu, Xi1; Yang, Yiping1; Yang, Hongjun2; Lu, Peng1,2; Lu,Peng | |
发表期刊 | BMC SYSTEMS BIOLOGY |
2015-09-16 | |
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 |
DOI | 10.1186/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 |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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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