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Computation of condition-dependent proteome allocation reveals variability in the macro and micro nutrient requirements for growth., , , , and . PLoS Comput. Biol., (2021)Characterizing Strain Variation in Engineered E. coli Using a Multi-Omics-Based Workflow., , , , , , , , , and 8 other author(s). Cell systems, 2 (5): 335--346 (May 25, 2016)Optimizing genome-scale network reconstructions, , and . Nature Biotechnology, 32 (5): 447--452 (May 8, 2014)Genetics. Predicting microbial growth., and . Science (New York, N.Y.), 344 (6191): 1448--1449 (Jun 27, 2014)Constraint-based models predict metabolic and associated cellular functions, , , and . Nat. Rev. Genet., (2014)Systems biology-guided identification of synthetic lethal gene pairs and its potential use to discover antibiotic combinations., , , , , , , , , and 5 other author(s). Scientific reports, (2015)Model-driven discovery of synergistic inhibitors against E. coli and S. enterica serovar Typhimurium targeting a novel synthetic lethal pair, aldA and prpC., , , , , , , , , and 5 other author(s). Frontiers in microbiology, (2015)Escherichia coli B2 strains prevalent in inflammatory bowel disease patients have distinct metabolic capabilities that enable colonization of intestinal mucosa., , , , , , , , and . BMC Syst. Biol., 12 (1): 66:1-66:10 (2018)High-quality genome-scale metabolic network reconstruction of probiotic bacterium Escherichia coli Nissle 1917., , , , , and . BMC Bioinform., 23 (1): 566 (December 2022)Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes., , , , , , and . BMC Bioinform., 21 (1): 162 (2020)