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1
Evolution and topology in the yeast protein interaction network.
Genome Res. 2004 Jul;14(7):1310-4. doi: 10.1101/gr.2300204.
2
High throughput interaction data reveals degree conservation of hub proteins.
Pac Symp Biocomput. 2009:391-402. doi: 10.1142/9789812836939_0037.
3
Disorder and sequence repeats in hub proteins and their implications for network evolution.
J Proteome Res. 2006 Nov;5(11):2985-95. doi: 10.1021/pr060171o.
4
Peeling the yeast protein network.
Proteomics. 2005 Feb;5(2):444-9. doi: 10.1002/pmic.200400962.
5
Systems biology approach reveals possible evolutionarily conserved moonlighting functions for enolase.
Comput Biol Chem. 2015 Oct;58:1-8. doi: 10.1016/j.compbiolchem.2015.04.010. Epub 2015 Apr 21.
6
Intrinsic disorder is a common feature of hub proteins from four eukaryotic interactomes.
PLoS Comput Biol. 2006 Aug 4;2(8):e100. doi: 10.1371/journal.pcbi.0020100. Epub 2006 Jun 23.
7
Local optimization for global alignment of protein interaction networks.
Pac Symp Biocomput. 2010:123-32. doi: 10.1142/9789814295291_0015.
8
Evolutionary rate in the protein interaction network.
Science. 2002 Apr 26;296(5568):750-2. doi: 10.1126/science.1068696.
9
Inferring protein-protein interactions through high-throughput interaction data from diverse organisms.
Bioinformatics. 2005 Aug 1;21(15):3279-85. doi: 10.1093/bioinformatics/bti492. Epub 2005 May 19.

引用本文的文献

1
Ancestry analysis indicates two different sets of essential genes in eukaryotic model species.
Funct Integr Genomics. 2021 Jul;21(3-4):523-531. doi: 10.1007/s10142-021-00794-9. Epub 2021 Jul 19.
2
The era of big data: Genome-scale modelling meets machine learning.
Comput Struct Biotechnol J. 2020 Oct 16;18:3287-3300. doi: 10.1016/j.csbj.2020.10.011. eCollection 2020.
3
Collective influencers in protein interaction networks.
Sci Rep. 2019 Mar 8;9(1):3948. doi: 10.1038/s41598-019-40410-2.
4
Beyond degree and betweenness centrality: Alternative topological measures to predict viral targets.
PLoS One. 2018 May 24;13(5):e0197595. doi: 10.1371/journal.pone.0197595. eCollection 2018.
5
Systems-level analysis of human aging genes shed new light on mechanisms of aging.
Hum Mol Genet. 2016 Jul 15;25(14):2934-2947. doi: 10.1093/hmg/ddw145. Epub 2016 May 14.
7
Comparative analysis of housekeeping and tissue-selective genes in human based on network topologies and biological properties.
Mol Genet Genomics. 2016 Jun;291(3):1227-41. doi: 10.1007/s00438-016-1178-z. Epub 2016 Feb 20.
9
Inference of Evolutionary Forces Acting on Human Biological Pathways.
Genome Biol Evol. 2015 May 13;7(6):1546-58. doi: 10.1093/gbe/evv083.
10
Essentiality and centrality in protein interaction networks revisited.
BMC Bioinformatics. 2015 Apr 1;16:109. doi: 10.1186/s12859-015-0536-x.

本文引用的文献

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Detecting putative orthologs.
Bioinformatics. 2003 Sep 1;19(13):1710-1. doi: 10.1093/bioinformatics/btg213.
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Molecular evolution in large genetic networks: does connectivity equal constraint?
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Assessing experimentally derived interactions in a small world.
Proc Natl Acad Sci U S A. 2003 Apr 15;100(8):4372-6. doi: 10.1073/pnas.0735871100. Epub 2003 Apr 3.
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Interaction and domain networks of yeast.
Proteomics. 2002 Dec;2(12):1715-23. doi: 10.1002/1615-9861(200212)2:12<1715::AID-PROT1715>3.0.CO;2-O.
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Comparative assessment of large-scale data sets of protein-protein interactions.
Nature. 2002 May 23;417(6887):399-403. doi: 10.1038/nature750. Epub 2002 May 8.
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Evolutionary rate in the protein interaction network.
Science. 2002 Apr 26;296(5568):750-2. doi: 10.1126/science.1068696.

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