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- W2233413639 endingPage "e177" @default.
- W2233413639 startingPage "e177" @default.
- W2233413639 abstract "Abstract Protein–protein interactions (PPIs) and microRNA (miRNA)–target interactions are important for deciphering the mechanisms of tumorigenesis. However, current PPI databases do not support cancer-specific analysis. Also, no available databases can be used to retrieve cancer-associated miRNA–target interactions. As the pathogenesis of human cancers is affected by several miRNAs rather than a single miRNA, it is needed to uncover miRNA synergism in a systems level. Here for each cancer type, we constructed a miRNA–miRNA functionally synergistic network based on the functions of miRNA targets and their topological features in that cancer PPI network. And for the first time, we report the cancer-specific database CancerNet ( http://bis.zju.edu.cn/CancerNet ), which contains information about PPIs, miRNA–target interactions and functionally synergistic miRNA–miRNA pairs across 33 human cancer types. In addition, PPI information across 33 main normal tissues and cell types are included. Flexible query methods are allowed to retrieve cancer molecular interactions. Network viewer can be used to visualize interactions that users are interested in. Enrichment analysis tool was designed to detect significantly overrepresented Gene Ontology categories of miRNA targets. Thus, CancerNet serves as a comprehensive platform for assessing the roles of proteins and miRNAs, as well as their interactions across human cancers." @default.
- W2233413639 created "2016-06-24" @default.
- W2233413639 creator A5001882549 @default.
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- W2233413639 date "2015-12-21" @default.
- W2233413639 modified "2023-10-16" @default.
- W2233413639 title "CancerNet: a database for decoding multilevel molecular interactions across diverse cancer types" @default.
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- W2233413639 doi "https://doi.org/10.1038/oncsis.2015.40" @default.
- W2233413639 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4688397" @default.
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