Correlation between structure and temperature in prokaryotic metabolic networks.

ABSTRACT:

Background

In recent years, an extensive characterization of network structures has been made in an effort to elucidate design principles of metabolic networks, providing valuable insights into the functional organization and the evolutionary history of organisms. However, previous analyses have not discussed the effects of environmental factors (i.e., exogenous forces) in shaping network structures. In this work, we investigate the effect of temperature, which is one of the environmental factors that may have contributed to shaping structures of metabolic networks.

Results

For this, we investigate the correlations between several structural properties characterized by graph metrics like the edge density, the degree exponent, the clustering coefficient, and the subgraph conc

SUBMITTER: Takemoto K 

PROVIDER: S-EPMC2045116 | biostudies-literature | 2007 Aug

REPOSITORIES: biostudies-literature