Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction
Growth is a fundamental process of life. Growth requirements are well‐characterized experimentally for many microbes; however, we lack a unified model for cellular growth. Such a model must be predictive of events at the molecular scale and capable of explaining the high‐level behavior of the cell a...
Main Authors: | Edward J O'Brien, Joshua A Lerman, Roger L Chang, Daniel R Hyduke, Bernhard Ø Palsson |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Nature
2013-01-01
|
Series: | Molecular Systems Biology |
Subjects: | |
Online Access: | https://doi.org/10.1038/msb.2013.52 |
Similar Items
-
Integration of enzyme constraints in a genome-scale metabolic model of Aspergillus niger improves phenotype predictions
by: Jingru Zhou, et al.
Published: (2021-06-01) -
iCN718, an Updated and Improved Genome-Scale Metabolic Network Reconstruction of Acinetobacter baumannii AYE
by: Charles J. Norsigian, et al.
Published: (2018-04-01) -
Modeling Red Blood Cell Metabolism in the Omics Era
by: Alicia Key, et al.
Published: (2023-11-01) -
Toxicant-Induced Metabolic Alterations in Lipid and Amino Acid Pathways Are Predictive of Acute Liver Toxicity in Rats
by: Venkat R. Pannala, et al.
Published: (2020-11-01) -
High-quality genome-scale metabolic network reconstruction of probiotic bacterium Escherichia coli Nissle 1917
by: Max van ‘t Hof, et al.
Published: (2022-12-01)