Title Structural systems biology evaluation of metabolic thermotolerance in Escherichia coli.
Year of Publication 2013
Authors R.L. Chang; K. Andrews; D. Kim; Z. Li; A. Godzik; B.O. Palsson
Journal PLoS Comput Biol
Abstract Genome-scale network reconstruction has enabled predictive modeling of metabolism for many systems. Traditionally, protein structural information has not been represented in such reconstructions. Expansion of a genome-scale model of Escherichia coli metabolism by including experimental and predicted protein structures enabled the analysis of protein thermostability in a network context. This analysis allowed the prediction of protein activities that limit network function at superoptimal temperatures and mechanistic interpretations of mutations found in strains adapted to heat. Predicted growth-limiting factors for thermotolerance were validated through nutrient supplementation experiments and defined metabolic sensitivities to heat stress, providing evidence that metabolic enzyme thermostability is rate-limiting at superoptimal temperatures. Inclusion of structural information expanded the content and predictive capability of genome-scale metabolic networks that enable structural systems biology of metabolism.
URL http://www.ncbi.nlm.nih.gov/pubmed/23744946?dopt=Abstract
PubMed ID 23744946