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综合分析确定小分子与信号通路之间的相互作用模式。

Integrated analysis identifies interaction patterns between small molecules and pathways.

作者信息

Li Yan, Li Weiguo, Chen Xin, Jiang Hong, Sun Jiatong, Chen Huan, Lv Sali

机构信息

Department of Bioinformatics, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 210029, China.

Faculty of Health Sciences, University of Macau, Macau.

出版信息

Biomed Res Int. 2014;2014:931825. doi: 10.1155/2014/931825. Epub 2014 Jul 13.

Abstract

Previous studies have indicated that the downstream proteins in a key pathway can be potential drug targets and that the pathway can play an important role in the action of drugs. So pathways could be considered as targets of small molecules. A link map between small molecules and pathways was constructed using gene expression profile, pathways, and gene expression of cancer cell line intervened by small molecules and then we analysed the topological characteristics of the link map. Three link patterns were identified based on different drug discovery implications for breast, liver, and lung cancer. Furthermore, molecules that significantly targeted the same pathways tended to treat the same diseases. These results can provide a valuable reference for identifying drug candidates and targets in molecularly targeted therapy.

摘要

先前的研究表明,关键信号通路中的下游蛋白可能是潜在的药物靶点,且该信号通路在药物作用中可能发挥重要作用。因此,信号通路可被视为小分子的作用靶点。利用基因表达谱、信号通路以及小分子干预的癌细胞系的基因表达构建了小分子与信号通路之间的联系图谱,然后我们分析了该联系图谱的拓扑特征。基于对乳腺癌、肝癌和肺癌的不同药物发现意义,识别出了三种联系模式。此外,显著靶向相同信号通路的分子往往治疗相同的疾病。这些结果可为分子靶向治疗中候选药物和靶点的识别提供有价值的参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ee6/4121214/8244e20211e3/BMRI2014-931825.001.jpg

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