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酵母蛋白质相互作用组拓扑结构为协同功能提供了框架。

Yeast Protein Interactome topology provides framework for coordinated-functionality.

作者信息

Valente André X C N, Cusick Michael E

机构信息

Biometry Research Group, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.

出版信息

Nucleic Acids Res. 2006 May 22;34(9):2812-9. doi: 10.1093/nar/gkl325. Print 2006.

DOI:10.1093/nar/gkl325
PMID:16717286
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1464412/
Abstract

The architecture of the network of protein-protein physical interactions in Saccharomyces cerevisiae is exposed through the combination of two complementary theoretical network measures, betweenness centrality and 'Q-modularity'. The yeast interactome is characterized by well-defined topological modules connected via a small number of inter-module protein interactions. Should such topological inter-module connections turn out to constitute a form of functional coordination between the modules, we speculate that this coordination is occurring typically in a pairwise fashion, rather than by way of high-degree hub proteins responsible for coordinating multiple modules. The unique non-hub-centric hierarchical organization of the interactome is not reproduced by gene duplication-and-divergence stochastic growth models that disregard global selective pressures.

摘要

通过结合两种互补的理论网络测量方法——中介中心性和“Q-模块性”,酿酒酵母中蛋白质-蛋白质物理相互作用网络的架构得以展现。酵母相互作用组的特征是通过少量模块间蛋白质相互作用连接的定义明确的拓扑模块。如果这种拓扑模块间连接最终构成模块间功能协调的一种形式,我们推测这种协调通常以两两配对的方式发生,而不是通过负责协调多个模块的高度连接的中心蛋白。忽视全局选择压力的基因复制和分化随机增长模型无法再现相互作用组独特的非中心蛋白的层次组织。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c90/1464412/616a25d15b3f/gkl325f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c90/1464412/4d4c0ab9a83c/gkl325f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c90/1464412/f09818b99680/gkl325f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c90/1464412/f09eb06fbb3c/gkl325f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c90/1464412/616a25d15b3f/gkl325f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c90/1464412/4d4c0ab9a83c/gkl325f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c90/1464412/f09818b99680/gkl325f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c90/1464412/f09eb06fbb3c/gkl325f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7c90/1464412/616a25d15b3f/gkl325f4.jpg

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Comp Funct Genomics. 2004;5(5):382-402. doi: 10.1002/cfg.412.
2
Distance, dissimilarity index, and network community structure.距离、相异指数和网络社区结构。
Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Jun;67(6 Pt 1):061901. doi: 10.1103/PhysRevE.67.061901. Epub 2003 Jun 10.
3
Effect of dataset selection on the topological interpretation of protein interaction networks.数据集选择对蛋白质相互作用网络拓扑解释的影响。
PLoS Comput Biol. 2011 Oct;7(10):e1002187. doi: 10.1371/journal.pcbi.1002187. Epub 2011 Oct 13.
4
Modeling and analysis of retinoic acid induced differentiation of uncommitted precursor cells.视黄酸诱导未分化前体细胞分化的建模与分析。
Integr Biol (Camb). 2011 May;3(5):578-91. doi: 10.1039/c0ib00141d. Epub 2011 Mar 24.
5
Coordinated modular functionality and prognostic potential of a heart failure biomarker-driven interaction network.心力衰竭生物标志物驱动的相互作用网络的协调模块化功能和预后潜力。
BMC Syst Biol. 2010 May 12;4:60. doi: 10.1186/1752-0509-4-60.
6
Functional organization of the yeast proteome by a yeast interactome map.通过酵母相互作用组图谱对酵母蛋白质组进行功能组织
Proc Natl Acad Sci U S A. 2009 Feb 3;106(5):1490-5. doi: 10.1073/pnas.0808624106. Epub 2009 Jan 21.
7
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J R Soc Interface. 2009 Oct 6;6(39):881-96. doi: 10.1098/rsif.2008.0407. Epub 2008 Nov 28.
8
Age-dependent evolution of the yeast protein interaction network suggests a limited role of gene duplication and divergence.酵母蛋白质相互作用网络的年龄依赖性进化表明基因复制和分化的作用有限。
PLoS Comput Biol. 2008 Nov;4(11):e1000232. doi: 10.1371/journal.pcbi.1000232. Epub 2008 Nov 28.
9
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10
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BMC Bioinformatics. 2008 Jun 11;9:276. doi: 10.1186/1471-2105-9-276.
BMC Genomics. 2005 Sep 20;6:131. doi: 10.1186/1471-2164-6-131.
4
Some protein interaction data do not exhibit power law statistics.一些蛋白质相互作用数据并不呈现幂律统计特征。
FEBS Lett. 2005 Sep 26;579(23):5140-4. doi: 10.1016/j.febslet.2005.08.024.
5
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J Biomed Biotechnol. 2005 Jun 30;2005(2):96-103. doi: 10.1155/JBB.2005.96.
6
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Bioinformatics. 2005 Jun;21 Suppl 1:i302-10. doi: 10.1093/bioinformatics/bti1054.
7
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