摘要翻译：
我们探讨了蛋白质-蛋白质相互作用网络与相互作用蛋白质的表达之间的相互作用。结果表明，相互作用的蛋白质以更相似的细胞浓度表达。这在很大程度上是由于蛋白质复合物中的相互作用对。我们求解了一个一般的络合物形成模型，并明确地表明当它们的成员具有大致相同的浓度时，络合物最有效地形成。因此，观察到的相互作用蛋白浓度的相似性可以归因于复合物形成效率的优化。
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英文标题：
《Connectivity and expression in protein networks: Proteins in a complex
  are uniformly expressed》
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作者：
Shai Carmi, Erez Y. Levanon, Shlomo Havlin, Eli Eisenberg
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最新提交年份：
2006
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Molecular Networks        分子网络
分类描述：Gene regulation, signal transduction, proteomics, metabolomics, gene and enzymatic networks
基因调控、信号转导、蛋白质组学、代谢组学、基因和酶网络
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一级分类：Physics        物理学
二级分类：Other Condensed Matter        其他凝聚态物质
分类描述：Work in condensed matter that does not fit into the other cond-mat classifications
在不适合其他cond-mat分类的凝聚态物质中工作
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  We explore the interplay between the protein-protein interactions network and the expression of the interacting proteins. It is shown that interacting proteins are expressed in significantly more similar cellular concentrations. This is largely due to interacting pairs which are part of protein complexes. We solve a generic model of complex formation and show explicitly that complexes form most efficiently when their members have roughly the same concentrations. Therefore, the observed similarity in interacting protein concentrations could be attributed to optimization for efficiency of complex formation.
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PDF链接：
https://arxiv.org/pdf/q-bio/0508021