ArticleGenome research2004
Evolution and topology in the yeast protein interaction network.
Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.
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Who cites it
58 citing papers in PubMed, 1 synthesis or guideline pooled it.
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- Inference of Evolutionary Forces Acting on Human Biological Pathways.Genome biology and evolution · 2015Article
- Essentiality and centrality in protein interaction networks revisited.BMC bioinformatics · 2015Article
- ncRDeathDB: A comprehensive bioinformatics resource for deciphering network organization of the ncRNA-mediated cell death system.Autophagy · 2015Article
- The EHEC-host interactome reveals novel targets for the translocated intimin receptor.Scientific reports · 2014Article
- Protein-protein Interaction Networks of E. coli and S. cerevisiae are similar.Scientific reports · 2014Article
- Dissecting the human protein-protein interaction network via phylogenetic decomposition.Scientific reports · 2014Article
- The protein interaction network of bacteriophage lambda with its host, Escherichia coli.Journal of virology · 2013Article
- A kinetic model of the evolution of a protein interaction network.BMC genomics · 2013Article
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1 author.
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Abstract
The integrity of the yeast protein-protein interaction network is maintained by a few highly connected proteins, or hubs, which hold the numerous less-connected proteins together. The structural importance and the increased essentiality of these proteins suggest that they are likely to be conserved in evolution, implying a strong relationship between the number of interactions and their evolutionary distance to its orthologs in other organisms. The existence of this coherence was recently reported to strongly depend on the quality of the protein interaction and orthologs data. Here, we introduce a novel method, the evolutionary excess retention (ER), allowing us to uncover a robust and strong correlation between the conservation, essentiality, and connectivity of a yeast protein. We conclude that the relevance of the hubs for the network integrity is simultaneously reflected by a considerable probability of simultaneously being evolutionarily conserved and essential, an observation that does not have an equivalent for nonessential proteins. Providing a thorough assessment of the impact noisy and incomplete data have on our findings, we conclude that our results are largely insensitive to the quality of the utilized data.
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