An integrative, multi-scale, genome-wide model reveals the phenotypic landscape of Escherichia coli.

ABSTRACT: Given the vast behavioral repertoire and biological complexity of even the simplest organisms, accurately predicting phenotypes in novel environments and unveiling their biological organization is a challenging endeavor. Here, we present an integrative modeling methodology that unifies under a common framework the various biological processes and their interactions across multiple layers. We trained this methodology on an extensive normalized compendium for the gram-negative bacterium Escherichia coli, which incorporates gene expression data for genetic and environmental perturbations, transcriptional regulation, signal transduction, and metabolic pathways, as well as growth measurements. Comparison with measured growth and high-throughput data demonstrates the enhanced ability of the inte

SUBMITTER: Carrera J 

PROVIDER: S-EPMC4299492 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature