Co-evolution between codon usage and protein-protein interaction in bacteria

We study the correlation between codon usage bias of genetic sequences and network features protein-protein interaction (PPI) in bacterial species. use PCA techniques space indices to show that genes with similar patterns have a significantly higher probability their encoded proteins are functionally connected interacting. Importantly, this signal emerges when multiple aspects taken into account at same time. The present extends our previous observations on E.Coli over wide set 34 bacteria. These findings could allow for future investigations possible effects topology PPI network, aim improving existing bioinformatics methods predicting protein interactions.