Use of logic relationships to decipher protein network organization
Use of logic relationships to decipher protein network organization
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DOI：
10.1126/science.1103330
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发表时间：
2004-12-24
期刊：
影响因子：
56.9
通讯作者：
Yeates, TO
中科院分区：
文献类型：
--
作者：
Bowers, PM;Cokus, SJ;Yeates, TO
基因组研究的一个主要焦点是破译构成细胞功能基础的分子相互作用网络。我们描述了一种计算方法，用于确定详细的蛋白质之间的关系的基础上的基因组数据。系统发育谱的逻辑分析确定了其存在或不存在服从某些逻辑关系的蛋白质三联体。例如，只有当蛋白A和B都存在时，蛋白C才可能存在于基因组中。该方法揭示了许多以前未识别的高阶关系。这些关系说明了由于分支和交替途径而在细胞网络中出现的复杂性，并且它们还有助于将细胞功能分配给未表征的蛋白质。
A major focus of genome research is to decipher the networks of molecular interactions that underlie cellular function. We describe a computational approach for identifying detailed relationships between proteins on the basis of genomic data. Logic analysis of phylogenetic profiles identifies triplets of proteins whose presence or absence obey certain logic relationships. For example, protein C may be present in a genome only if proteins A and B are both present. The method reveals many previously unidentified higher order relationships. These relationships illustrate the complexities that arise in cellular networks because of branching and alternate pathways, and they also facilitate assignment of cellular functions to uncharacterized proteins.