Department of Computer Science, University of Miami, Coral Gables, FL, USA.
Department of Biology, University of Miami, Coral Gables, FL, USA.
Sci Rep. 2019 Mar 8;9(1):3948. doi: 10.1038/s41598-019-40410-2.
Recent research increasingly shows the relevance of network based approaches for our understanding of biological systems. Analyzing human protein interaction networks, we determined collective influencers (CI), defined as network nodes that damage the integrity of the underlying networks to the utmost degree. We found that CI proteins were enriched with essential, regulatory, signaling and disease genes as well as drug targets, indicating their biological significance. Also by focusing on different organisms, we found that CI proteins had a penchant to be evolutionarily conserved as CI proteins, indicating the fundamental role that collective influencers in protein interaction networks plays for our understanding of regulation, diseases and evolution.
最近的研究越来越表明，网络方法对于我们理解生物系统具有相关性。通过分析人类蛋白质相互作用网络，我们确定了集体影响因子（CI），定义为最大限度地破坏基础网络完整性的网络节点。我们发现，CI 蛋白富含必需的、调节的、信号转导的和疾病基因以及药物靶点，表明它们具有生物学意义。此外，通过关注不同的生物体，我们发现 CI 蛋白具有进化保守性，这表明集体影响因子在蛋白质相互作用网络中对于我们理解调节、疾病和进化起着基础性的作用。
