蛋白质相互作用网络中嵌套复合物的表征

N. Zaki, Antonio Mora
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引用次数: 0

摘要

本文提供了蛋白质相互作用网络中嵌套复合物的新特征,强调定义和表示问题,量化,生物验证,网络度量,基序,模块化和基因本体(GO)术语。这种表征可以用于嵌套蛋白复合物预测算法的设计。我们引入“嵌套组”概念作为表示嵌套复合体的一种方式。我们还发现,必需蛋白的富集、与调控相关的氧化石墨烯术语、不完善的5团基序以及较高的氧化石墨烯同质性,都可以用来识别嵌套复合物中的蛋白质。补充材料、数据和程序可在http://faculty.uaeu.ac.ae/nzaki/Research.htm上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Nested Complexes in Protein Interaction Networks
This paper provides a novel characterization of nested complexes in protein interaction networks, stressing definition and representation issues, quantification, biological validation, network metrics, motifs, modularity and gene ontology (GO) terms. This characterization can be used in the design of a nested protein complex prediction algorithm. We introduce the "nested group" concept as a way to represent nested complexes. We also show that enrichment in essential proteins, GO terms related to regulation, imperfect 5-clique motifs, as well as higher GO homogeneity, can be used to identify proteins in nested complexes. Supplementary materials, data and programs are available at http://faculty.uaeu.ac.ae/nzaki/Research.htm.
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