Robust structure measures of metabolic networks that predict prokaryotic optimal growth temperature.
Adèle Weber ZendreraNataliya SokolovskaHédi A SoulaPublished in: BMC bioinformatics (2019)
We found a significant negative correlation between the size of the largest strongly connected component (a cycle) and the optimal growth temperature of the considered prokaryotes. This relationship holds true for the spectrum, high temperature being associated with lower eigenvalues. The hierarchy flow shows a negative correlation with optimal growth temperature. This suggests that the dynamical properties of the network are dependant on environmental factors.
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