Shaping a cell’s metabolic network

In a single cell, thousands of simultaneously occurring biochemical reactions carry out such functions as converting and storing energy and regulating nutrient levels; together, those processes make up the cell’s metabolic network. Computational biology involves, among other things, the linking of metabolic pathways to form a metabolic network model, a promising tool for pre-clinical drug studies and other medical research. However, such computational models do not traditionally include the function-determining structural details of a network’s macromolecules; for example, an enzyme’s ability to catalyze reactions and regulate the cell’s response to external stimuli is determined by its three-dimensional configuration. Now, an international team led by Adam Godzik at the Burnham Institute for Medical Research in California has taken a rare step and introduced atomic-level protein structural data to the metabolic network model of an ancient thermophilic bacterium, Thermotoga maritima, shown in the optical microscope image. The image also shows schematics of proteins in their 3D configurations, which, when they were expressed in the reconstructed metabolic network, helped the research team solve the puzzle of how proteins evolve when their cell networks grow larger. It turns out that only 37% of T. maritima’s proteins are essential to the formation of its metabolic network; those “core-essential” proteins adopt the bulk—61%—of the bacterium’s relatively few unique 3D configurations. The finding suggests that the core-essential proteins evolved their structure to perform additional functions in distinct pathways. (Y. Zhang et al., Science 325 , 1544, 2009 http://dx.doi.org/10.1126/science.1174671 .)