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dbNEI2.0:构建药物-神经内分泌免疫-疾病多层网络。

dbNEI2.0: building multilayer network for drug-NEI-disease.

作者信息

Zhang Jing, Ma Tao, Li Yanda, Li Shao

机构信息

MOE Key Laboratory of Bioinformatics and Bioinformatics Division, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, China.

出版信息

Bioinformatics. 2008 Oct 15;24(20):2409-11. doi: 10.1093/bioinformatics/btn388. Epub 2008 Jul 25.

Abstract

The neuro-endocrine-immune (NEI) system plays a critical regulatory role in modulating host homeostasis and optimizing health. We created the dbNEI 2 years ago to collect NEI molecules and interactions. For transferring the conceptual NEI to the systematic NEI network and uncovering the NEI's medical function, we updated the dbNEI 2.0 in three ways: (i) extended NEI molecules to 2242 genes and 7657 chemical compounds by using gene ontology-based (GO-based) data mining strategy, (ii) added multilayer interactions of NEI molecules including KEGG signal transduction and metabolic pathways, HPRD protein-protein interactions (PPI), transcription factor and microRNA regulations and (iii) connected 611 drugs and 823 diseases through multilayer NEI interactions. The reconstructed drug-NEI-disease network will facilitate the systematic study of NEI system.

摘要

神经内分泌免疫(NEI)系统在调节宿主内环境稳态和优化健康方面发挥着关键的调节作用。两年前我们创建了dbNEI来收集NEI分子及相互作用。为了将概念性的NEI转化为系统性的NEI网络并揭示NEI的医学功能,我们通过三种方式对dbNEI 2.0进行了更新:(i)使用基于基因本体(GO)的数据挖掘策略将NEI分子扩展至2242个基因和7657种化合物;(ii)添加了NEI分子的多层相互作用,包括KEGG信号转导和代谢途径、HPRD蛋白质-蛋白质相互作用(PPI)、转录因子和微小RNA调控;(iii)通过多层NEI相互作用连接了611种药物和823种疾病。重建的药物-NEI-疾病网络将有助于对NEI系统进行系统性研究。

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