Department of Biology, University of Rome, Tor Vergata, 00133 Rome, Italy.
European Bioinformatics Institute (EMBL-EBI), European Molecular Biology Laboratory, Wellcome Genome Campus, Hinxton, Cambridgeshire CB10 1SD, UK.
Nucleic Acids Res. 2020 Jan 8;48(D1):D416-D421. doi: 10.1093/nar/gkz871.
CancerGeneNet (https://signor.uniroma2.it/CancerGeneNet/) is a resource that links genes that are frequently mutated in cancers to cancer phenotypes. The resource takes advantage of a curation effort aimed at embedding a large fraction of the gene products that are found altered in cancer cells into a network of causal protein relationships. Graph algorithms, in turn, allow to infer likely paths of causal interactions linking cancer associated genes to cancer phenotypes thus offering a rational framework for the design of strategies to revert disease phenotypes. CancerGeneNet bridges two interaction layers by connecting proteins whose activities are affected by cancer drivers to proteins that impact on the 'hallmarks of cancer'. In addition, CancerGeneNet annotates curated pathways that are relevant to rationalize the pathological consequences of cancer driver mutations in selected common cancers and 'MiniPathways' illustrating regulatory circuits that are frequently altered in different cancers.
CancerGeneNet(https://signor.uniroma2.it/CancerGeneNet/)是一个将癌症中频繁突变的基因与癌症表型联系起来的资源。该资源利用了一项精心策划的工作,旨在将大量在癌细胞中发现改变的基因产物嵌入因果蛋白质关系网络中。反过来,图算法允许推断将与癌症相关的基因与癌症表型联系起来的因果相互作用的可能路径,从而为设计使疾病表型逆转的策略提供了合理的框架。CancerGeneNet 通过连接其活性受癌症驱动因素影响的蛋白质与影响“癌症特征”的蛋白质,连接两个相互作用层。此外,CancerGeneNet 还注释了与合理化选定常见癌症中癌症驱动突变的病理后果相关的精心策划的途径,以及说明不同癌症中经常改变的调节回路的“MiniPathways”。