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This illustrates the strong study bias in the LC data – proteins with a greater number of interactions tend to be revisited more often by small-scale studies.
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Data on proteins with SPRY, LisH, CTLH or CRA domain-containing proteins in plants are limited.
Data for proteins with log2 fold values ≤ 0 were not interpretable and are not shown.
It appears from our data that proteins with LOWER dN/dS values on average allow for more radical parallel substitutions.
We have performed extensive database and literature curation to collect sequence and structural data for proteins with the structural features of domain swapping.
To use all available sequence data, CTG proteins with a top database hit to a bacterial protein in UniProt were extracted for a second round of database searching against GenBank (E value of 10-20).
Furthermore, combining miRNA target data with protein-protein interaction data may be a broadly applicable strategy to define the effects of exosome-mediated trafficking of regulatory molecules within the tumor microenvironment.
Traditionally, these approaches focus on combining gene expression data with protein-protein interaction (PPI) networks.
To this end, we combined the previous data with protein-protein interaction network data to refine the original signature.
To overcome this limitation, methods have been proposed to utilize disease phenotypic similarities data with protein-protein interaction (PPI) data for the prioritization of candidate genes [ 13, 14].
The current lack of data includes both proteins with no known interactors, and missing PPIs between other connected proteins.
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