Faculty of 1000 evaluation for The global transcriptional regulatory network for metabolism in Escherichia coli exhibits few dominant functional states (original) (raw)

F1000 - Post-publication peer review of the biomedical literature

AI-generated Abstract

A principal aim of systems biology is to develop in silico models of whole cells or cellular processes that explain and predict observable cellular phenotypes. This research presents a genome-scale model of the integrated metabolic and transcriptional regulatory networks for Escherichia coli, comprising 1,010 gene products. The study emphasizes that the transcriptional regulatory network governing metabolism primarily responds to available electron acceptors and glucose presence, characterizing a limited number of dominant functional states within diverse growth environments. The utility of systems biology in consolidating genome-scale data to elucidate an organism's functional capabilities and preferred environments is demonstrated.

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