Use of logic relationships to decipher protein network organization

被引:115
作者
Bowers, PM
Cokus, SJ
Elsenberg, D
Yeates, TO [1 ]
机构
[1] Univ Calif Los Angeles, Inst Genom & Proteom, Los Angeles, CA 90095 USA
[2] Univ Calif Los Angeles, Howard Hughes Med Inst, Los Angeles, CA 90095 USA
[3] Univ Calif Los Angeles, Dept Math, Los Angeles, CA 90095 USA
[4] Univ Calif Los Angeles, Dept Chem & Biochem, Los Angeles, CA 90095 USA
关键词
D O I
10.1126/science.1103330
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:2246 / 2249
页数:4
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