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The chaotic nature of the sequence and function relationship in superfamilies including isomerases is evidenced by the lack of correlation between sequence and functional similarity.
The three measures of functional similarity capture different properties of the change in function, but none of the plots show any linear relationship between sequence and functional divergence.
Given the importance of understanding the relationship between sequence and functional activity, reliable methods to build and analyze fitness landscapes are needed.
These classifications can subsequently be mined to perform global studies on the estimated total number of folds ("Nature's structural toolkit"), the evolution of protein structures, the relationship between sequence and functional spaces, etc. [ 11, 12].
To gain an overview of the relationship between sequence and functional divergence, an overall representation of the sequence and functional similarity between the homologous enzymes that perform different catalytic reactions is presented in Figure 3.
At the simplest level, widely-cited models of gene duplicate evolution predict that the altered functional fates of paralogs are expected to manifest as asymmetric rates of molecular evolution given the expected correlation between sequence and functional divergence [ 14, 15], a correlation that has been borne out by recent studies [ 16- 23].
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However, computational paradigms will be necessary to draw the complete link between mutant genome sequence and functional phenotype.
We chose to model the relationship between sequence similarity and functional similarity using relatively straightforward Generalized Linear and Generalized Additive Models (GLM and GAM respectively).
The reviewers requested additional technical controls, and comparative analyses to analyze the relationship between sequence level and functional conservation.
We chose these taxa, which diverged from Drosophila between 100 and 150 million years ago, to provide the optimal balance between sequence divergence and functional divergence.
Pawlowski et al. [ 15] have studied the relation between sequence similarity and functional similarities based on the EC classification for the E. coli genome.
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