Synergy evaluation by a pathway-pathway interaction network: a new way to predict drug combination
文献类型：期刊论文
| 作者 | Chen, Di1 ; Zhang, Huamin2; Lu, Peng1; Liu, Xianli3; Cao, Hongxin4; Cao Hongxin
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| 刊名 | MOLECULAR BIOSYSTEMS
 |
| 出版日期 | 2016 |
| 卷号 | 12期号:2页码:614-623 |
| 关键词 | Drug Synergy Pathway Interaction |
| DOI | 10.1039/c5mb00599j |
| 文献子类 | Article |
| 英文摘要 | 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. |
| WOS关键词 | NF-KAPPA-B ; SEQUENCE-BASED PREDICTOR ; NECROSIS-FACTOR-ALPHA ; CELLULAR NETWORKING ; MODELS ; TARGET ; QUANTIFICATION ; EXPLORATION ; RECEPTORS ; PROTEINS |
| WOS研究方向 | Biochemistry & Molecular Biology |
| 语种 | 英语 |
| WOS记录号 | WOS:000368858900031 |
| 资助机构 | National Natural Science Foundation of China(81303152) ; State Key Program of National Natural Science Foundation of China(81330086) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/11334]  |
| 专题 | 自动化研究所_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 |
| 推荐引用方式 GB/T 7714 | 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. |
入库方式： OAI收割
来源：自动化研究所
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