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Title: Efficient estimation of the maximum metabolic productivity of batch systems

Production of chemicals from engineered organisms in a batch culture involves an inherent trade-off between productivity, yield, and titer. Existing strategies for strain design typically focus on designing mutations that achieve the highest yield possible while maintaining growth viability. While these methods are computationally tractable, an optimum productivity could be achieved by a dynamic strategy in which the intracellular division of resources is permitted to change with time. New methods for the design and implementation of dynamic microbial processes, both computational and experimental, have therefore been explored to maximize productivity. However, solving for the optimal metabolic behavior under the assumption that all fluxes in the cell are free to vary is a challenging numerical task. Here, previous studies have therefore typically focused on simpler strategies that are more feasible to implement in practice, such as the time-dependent control of a single flux or control variable.
Authors:
 [1] ;  [1] ;  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Publication Date:
Report Number(s):
NREL/JA-2700-67810
Journal ID: ISSN 1754-6834
Grant/Contract Number:
AC36-08GO28308
Type:
Accepted Manuscript
Journal Name:
Biotechnology for Biofuels
Additional Journal Information:
Journal Volume: 10; Journal Issue: 1; Journal ID: ISSN 1754-6834
Publisher:
BioMed Central
Research Org:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Country of Publication:
United States
Language:
English
Subject:
09 BIOMASS FUELS; flux balance analysis; dynamic optimization; elementary flux modes; Actinobacillus succinogines; Escherichia coli
OSTI Identifier:
1344450

St. John, Peter C., Crowley, Michael F., and Bomble, Yannick J.. Efficient estimation of the maximum metabolic productivity of batch systems. United States: N. p., Web. doi:10.1186/s13068-017-0709-0.
St. John, Peter C., Crowley, Michael F., & Bomble, Yannick J.. Efficient estimation of the maximum metabolic productivity of batch systems. United States. doi:10.1186/s13068-017-0709-0.
St. John, Peter C., Crowley, Michael F., and Bomble, Yannick J.. 2017. "Efficient estimation of the maximum metabolic productivity of batch systems". United States. doi:10.1186/s13068-017-0709-0. https://www.osti.gov/servlets/purl/1344450.
@article{osti_1344450,
title = {Efficient estimation of the maximum metabolic productivity of batch systems},
author = {St. John, Peter C. and Crowley, Michael F. and Bomble, Yannick J.},
abstractNote = {Production of chemicals from engineered organisms in a batch culture involves an inherent trade-off between productivity, yield, and titer. Existing strategies for strain design typically focus on designing mutations that achieve the highest yield possible while maintaining growth viability. While these methods are computationally tractable, an optimum productivity could be achieved by a dynamic strategy in which the intracellular division of resources is permitted to change with time. New methods for the design and implementation of dynamic microbial processes, both computational and experimental, have therefore been explored to maximize productivity. However, solving for the optimal metabolic behavior under the assumption that all fluxes in the cell are free to vary is a challenging numerical task. Here, previous studies have therefore typically focused on simpler strategies that are more feasible to implement in practice, such as the time-dependent control of a single flux or control variable.},
doi = {10.1186/s13068-017-0709-0},
journal = {Biotechnology for Biofuels},
number = 1,
volume = 10,
place = {United States},
year = {2017},
month = {1}
}

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