Journal
METABOLIC ENGINEERING
Volume 63, Issue -, Pages 13-33Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ymben.2020.11.013
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Funding
- Center for Bioenergy Innovation a U.S. Department of Energy Research Center - Office of Biological and Environmental Research in the DOE Office of Science
- DOE Center for Advanced Bioenergy and Bioproducts Innovation (U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research) [DE-SC0018420]
- DOE Office of Science, Office of Biological and Environmental Research [DESC0018260]
- NSF [MCB-1615646]
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This review focuses on the latest algorithmic advancements that have integrated foundational principles of reaction stoichiometry, thermodynamics, and mass action kinetics into increasingly sophisticated quantitative frameworks to describe how organisms allocate resources towards growth and bioproduction.
Understanding the governing principles behind organisms' metabolism and growth underpins their effective deployment as bioproduction chassis. A central objective of metabolic modeling is predicting how metabolism and growth are affected by both external environmental factors and internal genotypic perturbations. The fundamental concepts of reaction stoichiometry, thermodynamics, and mass action kinetics have emerged as the foundational principles of many modeling frameworks designed to describe how and why organisms allocate resources towards both growth and bioproduction. This review focuses on the latest algorithmic advancements that have integrated these foundational principles into increasingly sophisticated quantitative frameworks.
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