Contextualized Protein-Protein Interactions

被引:8
|
作者
Federico, Anthony [1 ,2 ]
Monti, Stefano [1 ,2 ]
机构
[1] Boston Univ, Sch Med, Sect Computat Biomed, Boston, MA 02118 USA
[2] Boston Univ, Bioinformat Program, Boston, MA 02215 USA
来源
PATTERNS | 2021年 / 2卷 / 01期
基金
美国国家卫生研究院;
关键词
NETWORKS; MEDICINE;
D O I
10.1016/j.patter.2020.100153
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Protein-protein interaction (PPI) databases are an important bioinformatics resource, yet existing literaturecurated databases usually represent cell-type-agnostic interactions, which is at variance with our understanding that protein dynamics are context specific and highly dependent on their environment. Here, we provide a resource derived through data mining to infer disease- and tissue-relevant interactions by annotating existing PPI databases with cell-contextual information extracted from reporting studies. This resource is applicable to the reconstruction and analysis of disease-centric molecular interaction networks. We have made the data and method publicly available and plan to release scheduled updates in the future. We expect these resources to be of interest to a wide audience of researchers in the life sciences.
引用
收藏
页数:7
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