From proteomes to complexomes in the era of systems biology

被引:28
作者
Clancy, Trevor [1 ]
Hovig, Eivind [1 ,2 ,3 ]
机构
[1] Oslo Univ Hosp, Norwegian Radium Hosp, Inst Canc Res, Dept Tumor Biol, Oslo, Norway
[2] Univ Oslo, Dept Informat, Fac Math & Nat Sci, Biomed Res Grp, N-0316 Oslo, Norway
[3] Oslo Univ Hosp, Norwegian Radium Hosp, Inst Med Informat, Oslo, Norway
关键词
Bioinformatics; Network biology; Protein complexes; Protein interactions; Systems biology; PROTEIN-INTERACTION NETWORKS; SPECTROMETRY-BASED PROTEOMICS; AFFINITY-PURIFICATION; SIGNALING NETWORKS; FUNCTIONAL-ORGANIZATION; CLUSTERING ALGORITHMS; PHYSICAL INTERACTOME; STRUCTURAL-ANALYSIS; GENE-EXPRESSION; YEAST PROTEOME;
D O I
10.1002/pmic.201300230
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
Protein complexes carry out almost the entire signaling and functional processes in the cell. The protein complex complement of a cell, and its network of complex-complex interactions, is referred to here as the complexome. Computational methods to predict protein complexes from proteomics data, resulting in network representations of complexomes, have recently being developed. In addition, key advances have been made toward understanding the network and structural organization of complexomes. We review these bioinformatics advances, and their discovery-potential, as well as the merits of integrating proteomics data with emerging methods in systems biology to study protein complex signaling. It is envisioned that improved integration of proteomics and systems biology, incorporating the dynamics of protein complexes in space and time, may lead to more predictive models of cell signaling networks for effective modulation.
引用
收藏
页码:24 / 41
页数:18
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