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Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers

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Identification of a Formate-Dependent Uric Acid Degradation Pathway in Escherichia coli

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Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improves metabolic models

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Integration of Biomass Formulations of Genome-Scale Metabolic Models with Experimental Data Reveals Universally Essential Cofactors in Prokaryotes

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Nontargeted Metabolomics Reveals the Multilevel Response to Antibiotic Perturbations

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(2016) Ali Ebrahim et al.   Nature Communications

The physiology and habitat of the last universal common ancestor

(2016) Madeline C. Weiss et al.   Nature Microbiology

Using Genome-scale Models to Predict Biological Capabilities

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Use of Adaptive Laboratory Evolution To Discover Key Mutations Enabling Rapid Growth of Escherichia coli K-12 MG1655 on Glucose Minimal Medium

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The Mismetallation of Enzymes during Oxidative Stress

(2014) James A. Imlay   JOURNAL OF BIOLOGICAL CHEMISTRY

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A Whole-Cell Computational Model Predicts Phenotype from Genotype

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Constraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods

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(2012) Joshua A. Lerman et al.   Nature Communications

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Understanding the Functional Roles of Amino Acid Residues in Enzyme Catalysis

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