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Synergy evaluation by a pathway-pathway interaction network: a new way to predict drug combination
Chen, Di1; Zhang, Huamin2; Lu, Peng1; Liu, Xianli3; Cao, Hongxin4; Cao Hongxin
2016
发表期刊MOLECULAR BIOSYSTEMS
卷号12期号:2页码:614-623
文章类型Article
摘要Drug combinations have been widely applied to treat complex diseases, like cancer, HIV and cardiovascular diseases. One of the most important characteristics for drug combinations is the synergistic effects among different drugs, that is to say, the combination effects are larger than the sum of individual effects. Although quantitative methods can be utilized to evaluate the synergistic effects based on experimental dose-response data, it is both time and resource consuming to screen all possible combinations by experimental trials. This problem makes it a formidable challenge to recognize synergistic combinations. Various attempts have been made to predict drug synergy by network biology, however, most of them are limited to estimating target associations on the PPI network. Here, we proposed a novel "pathway-pathway interaction" network-based synergy evaluation method to predict the potential synergistic drug combinations. Comparison with previous target-based methods shows that inclusion of systematic pathway-pathway interactions makes this novel method outperform others in predicting drug synergy. Moreover, it can also help to interpret how different drugs in a combination cooperate with each other to implement synergistic therapeutic effects. In general, drugs acting on the same pathway through different targets or drugs regulating a relatively small number of highly-connected pathways are more likely to produce synergistic effects.
关键词Drug Synergy Pathway Interaction
WOS标题词Science & Technology ; Life Sciences & Biomedicine
DOI10.1039/c5mb00599j
关键词[WOS]NF-KAPPA-B ; SEQUENCE-BASED PREDICTOR ; NECROSIS-FACTOR-ALPHA ; CELLULAR NETWORKING ; MODELS ; TARGET ; QUANTIFICATION ; EXPLORATION ; RECEPTORS ; PROTEINS
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(81303152) ; State Key Program of National Natural Science Foundation of China(81330086)
WOS研究方向Biochemistry & Molecular Biology
WOS类目Biochemistry & Molecular Biology
WOS记录号WOS:000368858900031
引用统计
被引频次:17[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11334
专题综合信息系统研究中心
通讯作者Lu, Peng; Cao Hongxin
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.China Acad Chinese Med Sci, Inst Informat TCM, Beijing 100700, Peoples R China
3.China Acad Chinese Med Sci, Inst Basic Theory TCM, Beijing 100700, Peoples R China
4.State Adm Tradit Chinese Med Peoples Republ China, Beijing 100027, Peoples R China
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Chen, Di,Zhang, Huamin,Lu, Peng,et al. Synergy evaluation by a pathway-pathway interaction network: a new way to predict drug combination[J]. MOLECULAR BIOSYSTEMS,2016,12(2):614-623.
APA Chen, Di,Zhang, Huamin,Lu, Peng,Liu, Xianli,Cao, Hongxin,&Cao Hongxin.(2016).Synergy evaluation by a pathway-pathway interaction network: a new way to predict drug combination.MOLECULAR BIOSYSTEMS,12(2),614-623.
MLA Chen, Di,et al."Synergy evaluation by a pathway-pathway interaction network: a new way to predict drug combination".MOLECULAR BIOSYSTEMS 12.2(2016):614-623.
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