Jonathan Monk
Orcid: 0000-0002-3895-8949
According to our database1,
Jonathan Monk
authored at least 13 papers
between 2015 and 2022.
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Bibliography
2022
High-quality genome-scale metabolic network reconstruction of probiotic bacterium Escherichia coli Nissle 1917.
BMC Bioinform., December, 2022
2021
Computation of condition-dependent proteome allocation reveals variability in the macro and micro nutrient requirements for growth.
PLoS Comput. Biol., 2021
2020
Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens.
PLoS Comput. Biol., 2020
Adaptations of Escherichia coli strains to oxidative stress are reflected in properties of their structural proteomes.
BMC Bioinform., 2020
2019
Systems-level analysis of NalD mutation, a recurrent driver of rapid drug resistance in acute Pseudomonas aeruginosa infection.
PLoS Comput. Biol., 2019
A computational knowledge-base elucidates the response of Staphylococcus aureus to different media types.
PLoS Comput. Biol., 2019
BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data.
PLoS Comput. Biol., 2019
2018
Updated and standardized genome-scale reconstruction of Mycobacterium tuberculosis H37Rv, iEK1011, simulates flux states indicative of physiological conditions.
BMC Syst. Biol., 2018
Escherichia coli B2 strains prevalent in inflammatory bowel disease patients have distinct metabolic capabilities that enable colonization of intestinal mucosa.
BMC Syst. Biol., 2018
2017
Machine learning in computational biology to accelerate high-throughput protein expression.
Bioinform., 2017
2016
2015