Evolutionary Rate in the Protein Interaction Network

By Hunter B. Fraser, Aaron E. Hirsh, Lars M. Steinmetz, C. Scharfe, Michal Feldman. 2002

910 citations recorded by the source corpus.

Subfields: Cell Biology, Molecular Biology

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Citations in the corpus

Genome evolution in yeasts (2004, background): “elegans already indicated the significant conservation of such protein”
High-Betweenness Proteins in the Yeast Protein Interaction Network (2005, background): “This is motivated by the observation of higher mutation rates for less connected proteins [22, 23].”
Learning the Structural Vocabulary of a Network (2017, background): “Such an inference can determine the relative importance of divergence between paralogs in a species or how wiring has evolved differently across multiple species(Makino,Suzuki,&Gojobori,2006;Fraser,Hirsh,Steinmetz,Scharfe, &Feldman,2002).”
Topological structure analysis of the protein-protein interaction network in budding yeast. (2003, background): “(22) revealed that the connectivity of well-conserved proteins in the network is negatively correlated with their rate of evolution.”
Bio::Homology::InterologWalk - A Perl module to build putative protein-protein interaction networks through interolog mapping (2011, background): “It has been shown that the connectivity of well-conserved proteins in PPI networks is negatively correlated with their rate of evolution [53,54] and, as a consequence, more connected proteins evolve at lower rate because they are subject to higher pressure to co-evolve with interacting proteins.”
Comparative Genomics in Eukaryotes (2005, background): “, 2002; Yanai and DeLisi, 2002), and network topology correlates with sequence variation: sequences evolve slowly when they have many connections in the network (Fraser et al., 2002) or when they are part of relatively densely connected motifs (Wuchty et al.”
Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life (2014, background): “, hubs) of protein– protein interactions networks [56], and the connectivity of these networks was shown to be negatively correlated with their rate of evolution [57].”
Network biology: understanding the cell's functional organization (2004, background): “cerevisiae proteins have a smaller evolutionary distance to their orthologues in Caenorhabditis elegans”
An Analysis of Human MicroRNA and Disease Associations (2008, background): “It has been reported that there exists a significant association between a gene’s (protein’s) connectivity and its conservation in yeast Saccharomyces cerevisiae [17] and human [18].”
Noise Minimization in Eukaryotic Gene Expression (2004, background): “Since proteins that participate in many protein–protein interactions are more likely to be essential (Jeong et al. 2001; Fraser et al. 2002), it was not immediately clear whether protein ﬁtness effect and membership in a multiprotein complex are independently associated with the expression strategy…”